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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.
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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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