Last data update: 2014.03.03
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OmicKriging
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
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0 images,
8 functions,
0 datasets
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Reverse Depends: 0
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'OmicKriging' ...
** package 'OmicKriging' successfully unpacked and MD5 sums checked
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
converting help for package 'OmicKriging'
finding HTML links ... done
krigr_cross_validation html
load_sample_data html
make_GXM html
make_PCs_irlba html
make_PCs_svd html
okriging html
read_GRMBin html
write_GRMBin html
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (OmicKriging)
Making 'packages.html' ... done
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