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epsiwal  

Exact Post Selection Inference with Applications to the Lasso
View on CRAN: Click here


Download and install epsiwal package within the R console
Install from CRAN:
install.packages("epsiwal")

Install from Github:
library("remotes")
install_github("cran/epsiwal")

Install by package version:
library("remotes")
install_version("epsiwal", "0.1.0")



Attach the package and use:
library("epsiwal")
Maintained by
Steven E. Pav
[Scholar Profile | Author Map]
First Published: 2019-07-02
Latest Update: 2019-07-02
Description:
Implements the conditional estimation procedure of Lee, Sun, Sun and Taylor (2016) . This procedure allows hypothesis testing on the mean of a normal random vector subject to linear constraints.
How to cite:
Steven E. Pav (2019). epsiwal: Exact Post Selection Inference with Applications to the Lasso. R package version 0.1.0, https://cran.r-project.org/web/packages/epsiwal. Accessed 04 Mar. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited epsiwal R package
View epsiwal citation profile
Other R packages that epsiwal depends, imports, suggests or enhances
Complete documentation for epsiwal
Functions, R codes and Examples using the epsiwal R package
Some associated functions: NEWS . ci_connorm . epsiwal . pconnorm . ptruncnorm . 
Some associated R codes: Full epsiwal package functions and examples
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