R: Group Elastic Net Regularized GLMs and GAMs

# Group Elastic Net Regularized GLMs and GAMs

## Documentation for package ‘grpnet’ version 1.1

- DESCRIPTION file

## Help Pages

auto | Auto MPG Data Set
coef.cv.grpnet | Extract Coefficients for cv.grpnet and grpnet Fits
coef.grpnet | Extract Coefficients for cv.grpnet and grpnet Fits
cv.compare | Compare Multiple cv.grpnet Solutions
cv.grpnet | Cross-Validation for grpnet
cv.grpnet.default | Cross-Validation for grpnet
cv.grpnet.formula | Cross-Validation for grpnet
family.grpnet | Prepare 'family' Argument for grpnet
grpnet | Fit a Group Elastic Net Regularized GLM/GAM
grpnet.default | Fit a Group Elastic Net Regularized GLM/GAM
grpnet.formula | Fit a Group Elastic Net Regularized GLM/GAM
grpnetStartupMessage | Startup Message for grpnet
plot.cv.grpnet | Plot Cross-Validation Curve for cv.grpnet Fits
plot.grpnet | Plot Regularization Path for grpnet Fits
predict.cv.grpnet | Predict Method for cv.grpnet Fits
predict.grpnet | Predict Method for grpnet Fits
print.coef.grpnet | S3 'print' Methods for grpnet
print.cv.grpnet | S3 'print' Methods for grpnet
print.grpnet | S3 'print' Methods for grpnet
rk | Reproducing Kernel Basis
rk.model.matrix | Construct Design Matrices via Reproducing Kernels
row.kronecker | Row-Wise Kronecker Product
StartupMessage | Startup Message for grpnet
visualize.loss | Plots grpnet Loss Function on Link or Response Scale
visualize.penalty | Plots grpnet Penalty Function or its Derivative
visualize.shrink | Plots grpnet Shrinkage Operator or its Estimator