Prediction with Less Overfitting and Robust to Noise

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Documentation for package ‘PLORN’ version 0.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

p.clean	Clean data by eliminating predictors with many missing values
p.opt	Estimate the optimal number of predictors to construct PLORN model
p.pca	Visualize predictors using principal coordinate analysis
p.rank	Visualize R-squared value distribution in predictor-environment interaction
p.sort	Sort and truncate predictors according to the strength of predictor-environment interaction
Pinus	Transcriptomes of Pinus roots under a Temperature Gradient
plorn	Construct and apply the PLORN model with your own data