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imprinting

Calculate Birth Year-Specific Probabilities of Immune Imprinting to Influenza

v0.1.1 · Dec 16, 2022 · MIT + file LICENSE

Description

Reconstruct birth-year specific probabilities of immune imprinting to influenza A, using the methods of Gostic et al. (2016) <doi:10.1126/science.aag1322>. Plot, save, or export the calculated probabilities for use in your own research. By default, the package calculates subtype-specific imprinting probabilities, but with user-provided frequency data, it is possible to calculate probabilities for arbitrary kinds of primary exposure to influenza A, including primary vaccination and exposure to specific clades, strains, etc.

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Check details (14 non-OK)
NOTE r-devel-linux-x86_64-debian-clang

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-linux-x86_64-debian-gcc

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-linux-x86_64-fedora-clang

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-linux-x86_64-fedora-gcc

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-macos-arm64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-windows-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-oldrel-macos-arm64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-oldrel-macos-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-oldrel-windows-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-patched-linux-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-release-linux-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-release-macos-arm64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-release-macos-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-release-windows-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_country_intensity_data.Rd:20: Lost braces
    20 | \verb{get_country_intensity data()} returns data on the annual intensity of influenza circulation in each calendar year. Following \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}, we define 1 as the average intensity. Seasons with intensities greater than 1 have more flu A circulation than average, and seasons with intensities less than 1 are mild.
       |                                                                                                                                                                                 ^
checkRd: (-1) get_imprinting_probabilities.Rd:34: Lost braces
    34 | Imprinting probabilities are calculated following \doi{https://do
...[truncated]...
                                                                                                                       ^
checkRd: (-1) get_p_infection_year.Rd:41: Lost braces
    41 | This function modifies the geometric model above to account for changes in annual circulation intensity, so that annual probabilities of primary infection \eqn{p_i} are scaled by the intensity in calendar year i. Details are given in \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)}.
       |                                                                                                                                                                                                                                                                                        ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^

Check History

NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-linux-x86_64-debian-gcc

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-linux-x86_64-fedora-clang

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-linux-x86_64-fedora-gcc

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-macos-arm64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-devel-windows-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-patched-linux-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-release-linux-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-release-macos-arm64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-release-macos-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-release-windows-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-oldrel-macos-arm64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-oldrel-macos-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
NOTE r-oldrel-windows-x86_64

Rd files

checkRd: (-1) get_country_cocirculation_data.Rd:43: Lost braces
    43 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^
checkRd: (-1) get_coun
...[truncated]...
                                  ^
checkRd: (-1) get_template_data.Rd:29: Lost braces
    29 | \doi{https://doi.org/10.1126/science.aag1322}{Gostic et al. Science, (2016)} for detailed methods.
       |                                              ^

Dependency Network

Dependencies Reverse dependencies dplyr tidyr cowplot ggplot2 tidyselect imprinting

Version History

new 0.1.1 Mar 10, 2026
updated 0.1.1 ← 0.1.0 diff Dec 15, 2022
new 0.1.0 Nov 17, 2022