lcpm
Ordinal Outcomes: Generalized Linear Models with the Log Link
v0.1.1
·
Jan 8, 2020
·
GPL-3
Description
An implementation of the Log Cumulative Probability Model (LCPM) and Proportional Probability Model (PPM) for which the Maximum Likelihood Estimates are determined using constrained optimization. This implementation accounts for the implicit constraints on the parameter space. Other features such as standard errors, z tests and p-values use standard methods adapted from the results based on constrained optimization.
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| r-devel-linux-x86_64-fedora-gcc | NOTE |
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| r-devel-windows-x86_64 | NOTE |
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NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Gurbakhshash Singh <gsingh@ccsu.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Gurbakhshash",
family = "Singh",
role = c("aut", "cre"),
email = "gsingh@ccsu.edu"),
person(given = c("Gordon", "Hilton"),
family = "Fick",
role = "aut"))
as necessary.
NOTE
r-devel-linux-x86_64-debian-clang
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Gurbakhshash Singh <gsingh@ccsu.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Gurbakhshash",
family = "Singh",
role = c("aut", "cre"),
email = "gsingh@ccsu.edu"),
person(given = c("Gordon", "Hilton"),
family = "Fick",
role = "aut"))
as necessary.
NOTE
r-devel-linux-x86_64-debian-gcc
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-devel-linux-x86_64-fedora-clang
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-devel-linux-x86_64-fedora-gcc
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-devel-macos-arm64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-oldrel-macos-arm64
LazyData
'LazyData' is specified without a 'data' directory
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-oldrel-macos-x86_64
LazyData
'LazyData' is specified without a 'data' directory
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-oldrel-windows-x86_64
LazyData
'LazyData' is specified without a 'data' directory
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of proportionality. That is, lcpm determines the MLE for log[P(y <= j)]= cut_j + X beta_j subject to [cut_{j-1} + X beta_{j-1} <= cut_j + X beta_j] and [cut_j + X beta_j <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results account for the restricted parameter space.
| ^
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 cate
...[truncated]...
^
checkRd: (-1) ppm.Rd:51: Lost braces; missing escapes or markup?
51 | \code{ppm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model with the log link with the assumption of proportionality. That is, ppm determines the MLE for log[P(y <= j)]= cut_j + X beta subject to [cut_{j-1} <= cut_j ] and [cut_j + X beta <=0]. This implementation uses \code{\link{constrOptim}} to determine the MLE and so the results should correctly account for the restricted parameter space. A proposed test for proportionality is included in \code{\link{lcpm}}.
| ^
Check History
NOTE 0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE
r-devel-linux-x86_64-debian-clang
CRAN incoming feasibility
Maintainer: ‘Gurbakhshash Singh <gsingh@ccsu.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Gurbakhshash",
family = "Singh",
role = c("aut", "cre"),
email = "gsingh@ccsu.edu"),
person(given = c("Gordon", "Hilton"),
family = "Fick",
role = "aut"))
as necessary.
NOTE
r-devel-linux-x86_64-debian-gcc
CRAN incoming feasibility
Maintainer: ‘Gurbakhshash Singh <gsingh@ccsu.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Gurbakhshash",
family = "Singh",
role = c("aut", "cre"),
email = "gsingh@ccsu.edu"),
person(given = c("Gordon", "Hilton"),
family = "Fick",
role = "aut"))
as necessary.
NOTE
r-devel-linux-x86_64-fedora-clang
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-devel-linux-x86_64-fedora-gcc
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-devel-macos-arm64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-devel-windows-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-patched-linux-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-release-linux-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-release-macos-arm64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-release-macos-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-release-windows-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-oldrel-macos-arm64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-oldrel-macos-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^
NOTE
r-oldrel-windows-x86_64
Rd files
checkRd: (-1) lcpm.Rd:52: Lost braces; missing escapes or markup?
52 | \code{lcpm} provides the maximum likelihood estimate for ordinal outcomes (J>2 categories) and a Generalized Linear Model (GLM) with the log link without the assumption of pro
...[truncated]...
^