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OmicKriging

Poly-Omic Prediction of Complex TRaits

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.

Versions across snapshots

VersionRepositoryFileSize
1.4.0 rolling linux/jammy R-4.5 OmicKriging_1.4.0.tar.gz 1.8 MiB
1.4.0 rolling linux/noble R-4.5 OmicKriging_1.4.0.tar.gz 1.8 MiB
1.4.0 rolling source/ R- OmicKriging_1.4.0.tar.gz 3.3 MiB
1.4.0 latest linux/jammy R-4.5 OmicKriging_1.4.0.tar.gz 1.8 MiB
1.4.0 latest linux/noble R-4.5 OmicKriging_1.4.0.tar.gz 1.8 MiB
1.4.0 latest source/ R- OmicKriging_1.4.0.tar.gz 3.3 MiB
1.4.0 2026-04-26 source/ R- OmicKriging_1.4.0.tar.gz 3.3 MiB
1.4.0 2026-04-23 source/ R- OmicKriging_1.4.0.tar.gz 3.3 MiB
1.4.0 2026-04-09 windows/windows R-4.5 OmicKriging_1.4.0.zip 1.7 MiB
1.4.0 2025-04-20 source/ R- OmicKriging_1.4.0.tar.gz 3.3 MiB

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