Selective Inference for the Randomized Lasso

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Documentation for package ‘lassoinf’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
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AffineConstraints	C++ classes
contrast_estimand	Estimand specifications
contrast_inference	Selective inference for a contrast estimand
covariance_estimand	Estimand specifications
custom_estimand_inference	Selective inference for an estimand given by its covariance with the score
dense_operator	Linear operators
DiscreteFamily	C++ classes
estimand_summary	Table of selective inference results
estimand_value	Estimand specifications
glmnet_inference	Selective inference after a glmnet fit
glmnet_problem	The bounded LASSO problem glmnet solved
glmnet_problem_from_fit	The bounded LASSO problem glmnet solved
glmnet_scaling	glmnet's column scales
inactive_summary	Selective inference for inactive variables
kkt_violation	KKT violation of the bounded LASSO
LassoInference	LassoInference Class
ScreenedSelection	ScreenedSelection Class
SelectionCoordinates	SelectionCoordinates Class
TruncatedGaussian	C++ classes
truncated_normal_inference	Truncated normal inference from the polyhedral lemma
TruncBivariateNormal	TruncBivariateNormal Class
WeightedGaussianFamily	C++ classes
xtvx_operator	Linear operators