<?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>sheldon2031.r-universe.dev</title><link>https://sheldon2031.r-universe.dev</link><description>Recent package updates in sheldon2031</description><generator>R-universe</generator><image><url>https://github.com/sheldon2031.png</url><title>R packages by sheldon2031</title><link>https://sheldon2031.r-universe.dev</link></image><lastBuildDate>Wed, 09 Aug 2023 06:32:13 GMT</lastBuildDate><item><title>[sheldon2031] WLreg 1.0.0.1</title><author>xiaodong.luo@sanofi.com (Xiaodong Luo)</author><description>Use various regression models for the analysis of win loss
endpoints adjusting for non-binary and multivariate covariates.</description><link>https://github.com/r-universe/sheldon2031/actions/runs/28226518987</link><pubDate>Wed, 09 Aug 2023 06:32:13 GMT</pubDate><r:package>WLreg</r:package><r:version>1.0.0.1</r:version><r:status>success</r:status><r:repository>https://sheldon2031.r-universe.dev</r:repository><r:upstream>https://github.com/cran/WLreg</r:upstream></item><item><title>[sheldon2031] PWEALL 1.3.0.1</title><author>xiaodong.luo@sanofi.com (Xiaodong Luo)</author><description>Calculates various functions needed for design and
monitoring survival trials accounting for complex situations
such as delayed treatment effect, treatment crossover,
non-uniform accrual, and different censoring distributions
between groups. The event time distribution is assumed to be
piecewise exponential (PWE) distribution and the entry time is
assumed to be piecewise uniform distribution. As compared with
Version 1.2.1, two more types of hybrid crossover are added. A
bug is corrected in the function &quot;pwecx&quot; that calculates the
crossover-adjusted survival, distribution, density, hazard and
cumulative hazard functions. Also, to generate the
crossover-adjusted event time random variable, a more efficient
algorithm is used and the output includes crossover indicators.</description><link>https://github.com/r-universe/sheldon2031/actions/runs/28226516700</link><pubDate>Wed, 09 Aug 2023 06:32:06 GMT</pubDate><r:package>PWEALL</r:package><r:version>1.3.0.1</r:version><r:status>success</r:status><r:repository>https://sheldon2031.r-universe.dev</r:repository><r:upstream>https://github.com/cran/PWEALL</r:upstream></item><item><title>[sheldon2031] NBDesign 2.0.0</title><author>xiaodong.luo@sanofi.com (Xiaodong Luo)</author><description>Calculate various functions needed for design and
monitoring clinical trials with negative binomial endpoint with
variable follow-up. This version has a few changes compared to
the previous version 1.0.0, including (1) correct a typo in
Type 1 censoring, mtbnull=bnull and (2) restructure the code to
account for shape parameter equal to zero, i.e. Poisson
scenario.</description><link>https://github.com/r-universe/sheldon2031/actions/runs/28226515191</link><pubDate>Thu, 10 Sep 2020 05:30:22 GMT</pubDate><r:package>NBDesign</r:package><r:version>2.0.0</r:version><r:status>success</r:status><r:repository>https://sheldon2031.r-universe.dev</r:repository><r:upstream>https://github.com/cran/NBDesign</r:upstream></item></channel></rss>