epsiwal-NEWS

News for package &#8216;epsiwal&#8217;

Implements the conditional estimation procedure of
Lee, Sun, Sun and Taylor (2016) <doi:10.1214/15-AOS1371>.
This procedure allows hypothesis testing on the mean of
a normal random vector subject to linear constraints.
Also supports computation of the MLE of the mean subject to the
same constraints.

Steven E. Pav

epsiwal

Exact Post Selection Inference with Applications to the Lasso

epsiwal-NEWS function

<ul>
<li>fix numerical stability issues in ptruncnorm and downstream utilities (CIs).</li>
<li>add MLE estimator of Reid, Taylor, Tibshirani.</li>
<li>add helper functions for the case of conditioning on the max of a vector.</li>
</ul>

<a href="https://cran.r-project.org/package=epsiwal">epsiwal</a> Initial Version 0.2.0 (2026-06-08)

<ul>
<li>first CRAN release.</li>
</ul>

<a href="https://cran.r-project.org/package=epsiwal">epsiwal</a> Initial Version 0.1.0 (2019-06-28)

News for package 'epsiwal': — epsiwal-NEWS

<ul>
<li>fix numerical stability issues in ptruncnorm and downstream utilities (CIs).</li>
<li>add MLE estimator of Reid, Taylor, Tibshirani.</li>
<li>add helper functions for the case of conditioning on the max of a vector.</li>
</ul>

<a href='https://cran.r-project.org/package=epsiwal'>epsiwal</a> Initial Version 0.2.0 (2026-06-08)

<ul>
<li>first CRAN release.</li>
</ul>

epsiwal-NEWS: News for package 'epsiwal':

Description

Arguments

<a href="https://cran.r-project.org/package=epsiwal"><span class="pkg">epsiwal</span></a> Initial Version 0.2.0 (2026-06-08)

<a href="https://cran.r-project.org/package=epsiwal"><span class="pkg">epsiwal</span></a> Initial Version 0.1.0 (2019-06-28)