OmicKriging
Poly-Omic Prediction of Complex TRaits
Description
It provides functions to generate a correlation matrix from a genetic dataset and to use this matrix to predict the phenotype of an individual by using the phenotypes of the remaining individuals through kriging. Kriging is a geostatistical method for optimal prediction or best unbiased linear prediction. It consists of predicting the value of a variable at an unobserved location as a weighted sum of the variable at observed locations. Intuitively, it works as a reverse linear regression: instead of computing correlation (univariate regression coefficients are simply scaled correlation) between a dependent variable Y and independent variables X, it uses known correlation between X and Y to predict Y.
Downloads
198
Last 30 days
16857th
198
Last 90 days
198
Last year
CRAN Check Status
Show all 14 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | NOTE |
| r-devel-linux-x86_64-debian-gcc | NOTE |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (14 non-OK)
CRAN incoming feasibility
Maintainer: ‘Hae Kyung Im <haky@uchicago.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Hae", "Kyung"),
family = "Im",
role = c("aut", "cre"),
email = "haky@uchicago.edu"),
person(given = c("Heather", "E."),
family = "Wheeler",
role = "aut"),
person(given = c("Keston", "Aquino"),
family = "Michaels",
role = "aut"),
person(given = "Vassily",
family = "Trubetskoy",
role = "aut"))
as necessary.
Found the following \keyword or \concept entries
which likely give several index terms:
File ‘krigr_cross_validation.Rd’:
\keyword{prediction,}
File ‘make_PCs_irlba.Rd’:
\keyword{PCA,}
\keyword{covariate,}
File ‘make_PCs_svd.Rd’:
\keyword{PCA,}
\keyword{covariate,}
CRAN incoming feasibility
Maintainer: ‘Hae Kyung Im <haky@uchicago.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Hae", "Kyung"),
family = "Im",
role = c("aut", "cre"),
email = "haky@uchicago.edu"),
person(given = c("Heather", "E."),
family = "Wheeler",
role = "aut"),
person(given = c("Keston", "Aquino"),
family = "Michaels",
role = "aut"),
person(given = "Vassily",
family = "Trubetskoy",
role = "aut"))
as necessary.
Found the following \keyword or \concept entries
which likely give several index terms:
File ‘krigr_cross_validation.Rd’:
\keyword{prediction,}
File ‘make_PCs_irlba.Rd’:
\keyword{PCA,}
\keyword{covariate,}
File ‘make_PCs_svd.Rd’:
\keyword{PCA,}
\keyword{covariate,}
*
*
*
*
*
*
*
*
*
*
*
*
Check History
NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
CRAN incoming feasibility
Maintainer: ‘Hae Kyung Im <haky@uchicago.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Hae", "Kyung"),
family = "Im",
role = c("aut", "cre"),
email = "haky@uchicago.edu"),
person(given = c("Heather", "E."),
family = "Wheeler",
role = "aut"),
person(given = c("Keston", "Aquino"),
fam
CRAN incoming feasibility
Maintainer: ‘Hae Kyung Im <haky@uchicago.edu>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = c("Hae", "Kyung"),
family = "Im",
role = c("aut", "cre"),
email = "haky@uchicago.edu"),
person(given = c("Heather", "E."),
family = "Wheeler",
role = "aut"),
person(given = c("Keston", "Aquino"),
fam