Group Lasso and Elastic Net Solver for Generalized Linear Models

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Documentation for package ‘adelie’ version 1.0.2

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

Help Pages

coef.cv.grpnet	make predictions from a "cv.grpnet" object.
coef.grpnet	make predictions from a "grpnet" object.
cv.grpnet	Cross-validation for grpnet
gaussian_cov	Solves group elastic net via covariance method.
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.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.grpnet	plot the cross-validation curve produced by cv.grpnet
plot.grpnet	plot coefficients from a "grpnet" object
predict.cv.grpnet	make predictions from a "cv.grpnet" object.
predict.grpnet	make predictions from a "grpnet" object.
print.cv.grpnet	print a cross-validated grpnet object
print.grpnet	print a grpnet object
set_configs	Set configuration settings.