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'
RoxygenNote: 5.0.1
NeedsCompilation: no
Packaged: 2016-03-07 16:26:39 UTC; haky
Repository: CRAN
Date/Publication: 2016-03-08 00:12:43
Built: R 4.0.2; ; 2020-08-02 11:18:05 UTC; windows
