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OmicKriging
View on CRAN: Click
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Download and install OmicKriging package within the R console
Install from CRAN:
install.packages("OmicKriging")
Install from Github:
library("remotes")
install_github("cran/OmicKriging") Install by package version:
library("remotes")
install_version("OmicKriging", "1.4.0") Attach the package and use:
library("OmicKriging")
Maintained by
Hae Kyung Im
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[Scholar Profile | Author Map]
All associated links for this package
First Published: 2013-03-09
Latest Update: 2016-03-08
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.
How to cite:
Hae Kyung Im (2013). OmicKriging: Poly-Omic Prediction of Complex TRaits. R package version 1.4.0, https://cran.r-project.org/web/packages/OmicKriging. Accessed 05 Aug. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for OmicKriging
Functions, R codes and Examples using
the OmicKriging R package
Some associated functions: krigr_cross_validation . load_sample_data . make_GXM . make_PCs_irlba . make_PCs_svd . okriging . read_GRMBin . write_GRMBin .
Some associated R codes: correlation_matrices.R . input_pheno_GT.R . omic_KRIGR.R . Full OmicKriging package functions and examples
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