R: Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data

# Delete or Merge Regressors Algorithms for Linear and Logistic Model Selection and High-Dimensional Data

## Documentation for package ‘DMRnet’ version 0.4.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

DMRnet-package | DMRnet-package
coef.cv.DMR | coef.cv.DMR
coef.DMR | coef.DMR
coef.gic.DMR | coef.gic.DMR
cv.DMR | cross-validation for DMR
cv.DMRnet | cross-validation for DMRnet
DMR | Delete or Merge Regressors
DMRnet | Delete or Merge Regressors net
gic.DMR | gic.DMR
miete | miete dataset
plot.cv.DMR | plot.cv.DMR
plot.DMR | plot.DMR
plot.gic.DMR | plot.gic.DMR
predict.cv.DMR | predict.cv.DMR
predict.DMR | predict.DMR
predict.gic.DMR | predict.gic.DMR
print.DMR | print.DMR
promoter | promoter dataset