constraint.box          Create a box constraint for a group.
cv.glintnet             Cross-validation for glintnet
cv.grpnet               Cross-validation for grpnet
gaussian_cov            Solves group elastic net via covariance method.
glintnet                fit a GLM interaction model with group lasso or
                        group elastic-net regularization
glm.binomial            Creates a Binomial GLM family object.
glm.cox                 Creates a Cox GLM family object.
glm.gaussian            Creates a Gaussian GLM family object.
glm.multigaussian       Creates a MultiGaussian GLM family object.
glm.multinomial         Creates a Multinomial GLM family object.
glm.poisson             Creates a Poisson GLM family object.
grpnet                  fit a GLM with group lasso or group elastic-net
                        regularization
io.snp_phased_ancestry
                        IO handler for SNP phased, ancestry matrix.
io.snp_unphased         IO handler for SNP unphased matrix.
matrix.block_diag       Creates a block-diagonal matrix.
matrix.concatenate      Creates a concatenation of the matrices.
matrix.convex_relu      Creates a feature matrix for the convex relu
                        problem.
matrix.dense            Creates a dense matrix object.
matrix.eager_cov        Creates an eager covariance matrix.
matrix.interaction      Creates a matrix with pairwise interactions.
matrix.kronecker_eye    Creates a Kronecker product with an identity
                        matrix.
matrix.lazy_cov         Creates a lazy covariance matrix.
matrix.one_hot          Creates a one-hot encoded matrix.
matrix.snp_phased_ancestry
                        Creates a SNP phased, ancestry matrix.
matrix.snp_unphased     Creates a SNP unphased matrix.
matrix.sparse           Creates a sparse matrix object.
matrix.standardize      Creates a standardized matrix.
matrix.subset           Creates a subset of the matrix along an axis.
plot.cv.glintnet        plot the cross-validation curve produced by
                        cv.glintnet
plot.grpnet             plot coefficients from a "grpnet" object
predict.cv.glintnet     make predictions from a "cv.glintnet" object.
predict.cv.grpnet       make predictions from a "cv.grpnet" object.
predict.glintnet        make predictions from a "glintnet" object.
predict.grpnet          make predictions from a "grpnet" object.
print.cv.grpnet         print a cross-validated grpnet object
print.glintnet          Print a summary of the glintnet path at each
                        step along the path.
print.grpnet            print a grpnet object
set_configs             Set configuration settings.
