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HDCI (version 1.0-2)

High Dimensional Confidence Interval Based on Lasso and Bootstrap

Description

Fits regression models on high dimensional data to estimate coefficients and use bootstrap method to obtain confidence intervals. Choices for regression models are Lasso, Lasso+OLS, Lasso partial ridge, Lasso+OLS partial ridge.

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Version

Install

install.packages('HDCI')

Monthly Downloads

239

Version

1.0-2

License

GNU General Public License version 2

Maintainer

Xin Xu

Last Published

June 6th, 2017

Functions in HDCI (1.0-2)

LPR

Lasso Partial Ridge
Lasso

Lasso
LassoOLS

Lasso OLS
PartRidge

Partial Ridge
ci

Confidence Interval
escv.glmnet

escv glmnet
bootLasso

Bootstrap Lasso
bootLassoOLS

Bootstrap Lasso OLS
bootLOPR

Bootstrap Lasso OLS Partial Ridge
bootLPR

Bootstrap Lasso Partial Ridge
mls

Modified Least Squares
mypredict

My Predict