<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>qzhangua.r-universe.dev</title><link>https://qzhangua.r-universe.dev</link><description>Recent package updates in qzhangua</description><generator>R-universe</generator><image><url>https://github.com/qzhangua.png</url><title>R packages by qzhangua</title><link>https://qzhangua.r-universe.dev</link></image><lastBuildDate>Fri, 03 Mar 2023 17:00:09 GMT</lastBuildDate><item><title>[qzhangua] DNetFinder 1.1</title><author>qz008@uark.edu (Qingyang Zhang)</author><description>Provides a modified hierarchical test (Liu (2017)
&lt;doi:10.1214/17-AOS1539&gt;) for detecting the structural
difference between two Semiparametric Gaussian graphical
models. The multiple testing procedure asymptotically controls
the false discovery rate (FDR) at a user-specified level. To
construct the test statistic, a truncated estimator is used to
approximate the transformation functions and two R functions
including lassoGGM() and lassoNPN() are provided to compute the
lasso estimates of the regression coefficients.</description><link>https://github.com/r-universe/qzhangua/actions/runs/26633184302</link><pubDate>Fri, 03 Mar 2023 17:00:09 GMT</pubDate><r:package>DNetFinder</r:package><r:version>1.1</r:version><r:status>success</r:status><r:repository>https://qzhangua.r-universe.dev</r:repository><r:upstream>https://github.com/cran/DNetFinder</r:upstream></item><item><title>[qzhangua] PEGroupTesting 1.0</title><author>qz008@uark.edu (Qingyang Zhang)</author><description>The population proportion using group testing can be
estimated by different methods. Four functions including
p.mle(), p.gart(), p.burrow() and p.order() are provided to
implement four estimating methods including the maximum
likelihood estimate, Gart's estimate, Burrow's estimate, and
order statistic estimate.</description><link>https://github.com/r-universe/qzhangua/actions/runs/26633225271</link><pubDate>Thu, 15 Sep 2016 17:49:30 GMT</pubDate><r:package>PEGroupTesting</r:package><r:version>1.0</r:version><r:status>success</r:status><r:repository>https://qzhangua.r-universe.dev</r:repository><r:upstream>https://github.com/cran/PEGroupTesting</r:upstream></item></channel></rss>