<?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>ccrespi.r-universe.dev</title><link>https://ccrespi.r-universe.dev</link><description>Recent package updates in ccrespi</description><generator>R-universe</generator><image><url>https://github.com/ccrespi.png</url><title>R packages by ccrespi</title><link>https://ccrespi.r-universe.dev</link></image><lastBuildDate>Wed, 04 Mar 2026 00:59:19 GMT</lastBuildDate><item><title>[powerandsamplesize] powertools 1.0.0</title><author>ccrespi@ucla.edu (Catherine M. Crespi)</author><description>Power and sample size calculations for a variety of study
designs and outcomes. Methods include t tests, ANOVA (including
tests for interactions, simple effects and contrasts),
proportions, categorical data (chi-square tests and
proportional odds), linear, logistic and Poisson regression,
alternative and coprimary endpoints, power for confidence
intervals, correlation coefficient tests, cluster randomized
trials, individually randomized group treatment trials,
multisite trials, treatment-by-covariate interaction effects
and nonparametric tests of location. Utilities are provided for
computing various effect sizes. Companion package to the book
&quot;Power and Sample Size in R&quot;, Crespi (2025,
ISBN:9781138591622). Further resources available at
&lt;https://powerandsamplesize.org/&gt;.</description><link>https://github.com/r-universe/powerandsamplesize/actions/runs/36691173672</link><pubDate>Wed, 04 Mar 2026 00:59:19 GMT</pubDate><r:package>powertools</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://powerandsamplesize.r-universe.dev</r:repository><r:upstream>https://github.com/powerandsamplesize/powertools</r:upstream></item></channel></rss>