Package: OmicKriging
Type: Package
Title: Poly-Omic Prediction of Complex TRaits
Version: 1.4.0
Date: 2016-03-03
Author: Hae Kyung Im, Heather E. Wheeler, Keston Aquino Michaels,
        Vassily Trubetskoy
Maintainer: Hae Kyung Im <haky@uchicago.edu>
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.
License: GPL (>=3)
Depends: R(>= 2.15.1), doParallel
Imports: ROCR, irlba, parallel, foreach
Collate: 'correlation_matrices.R' 'input_pheno_GT.R' 'omic_KRIGR.R'
Repository: https://hakyimlab.r-universe.dev
Date/Publication: 2020-10-27 14:35:35 UTC
RemoteUrl: https://github.com/hakyimlab/omickriging
RemoteRef: HEAD
RemoteSha: 48edf855f1bd9078d98134acd0c7b8b946858d86
NeedsCompilation: no
Packaged: 2026-10-15 07:19:52 UTC; root