# Update

Code and documentation for a updated release to the Omic Kriging R
package. Focused primarily on improving efficiency, improving ease of
use, and reducing dependencies.

Link to
latest CRAN release

## Description

This package 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. More updated versions can be found here

### Authors and Contributors:

- Hae Kyung Im
- Heather E. Wheeler
- Keston Aquino Michaels
- Vassily Trubetskoy