<?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>stat-code-demo.r-universe.dev</title><link>https://stat-code-demo.r-universe.dev</link><description>Recent package updates in stat-code-demo</description><generator>R-universe</generator><image><url>https://github.com/stat-code-demo.png</url><title>R packages by stat-code-demo</title><link>https://stat-code-demo.r-universe.dev</link></image><lastBuildDate>Fri, 06 Dec 2019 16:40:02 GMT</lastBuildDate><item><title>[stat-code-demo] BCA1SG 0.1.0</title><author>yudongw@u.nus.edu (Wang Yudong)</author><description>Implementing the Block Coordinate Ascent with One-Step
Generalized Rosen (BCA1SG) algorithm on the semiparametric
models for panel count data, interval-censored survival data,
and degradation data. A comprehensive description of the BCA1SG
algorithm can be found in Wang et al. (2020)
&lt;https://github.com/yudongstat/BCA1SG/blob/master/BCA1SG.pdf&gt;.
For details of the semiparametric models for panel count data,
interval-censored survival data, and degradation data, please
see Wellner and Zhang (2007) &lt;doi:10.1214/009053607000000181&gt;,
Huang and Wellner (1997) &lt;ISBN:978-0-387-94992-5&gt;, and Wang and
Xu (2010) &lt;doi:10.1198/TECH.2009.08197&gt;, respectively.</description><link>https://github.com/r-universe/stat-code-demo/actions/runs/26707255943</link><pubDate>Fri, 06 Dec 2019 16:40:02 GMT</pubDate><r:package>BCA1SG</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://stat-code-demo.r-universe.dev</r:repository><r:upstream>https://github.com/cran/BCA1SG</r:upstream></item></channel></rss>