<?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>aurelie-bertrand.r-universe.dev</title><link>https://aurelie-bertrand.r-universe.dev</link><description>Recent package updates in aurelie-bertrand</description><generator>R-universe</generator><image><url>https://github.com/aurelie-bertrand.png</url><title>R packages by aurelie-bertrand</title><link>https://aurelie-bertrand.r-universe.dev</link></image><lastBuildDate>Mon, 07 Dec 2020 13:40:02 GMT</lastBuildDate><item><title>[aurelie-bertrand] miCoPTCM 1.1</title><author>aurelie.bertrand@uclouvain.be (Aurelie Bertrand)</author><description>Fits Semiparametric Promotion Time Cure Models, taking
into account (using a corrected score approach or the SIMEX
algorithm) or not the measurement error in the covariates,
using a backfitting approach to maximize the likelihood.</description><link>https://github.com/r-universe/aurelie-bertrand/actions/runs/26153788693</link><pubDate>Mon, 07 Dec 2020 13:40:02 GMT</pubDate><r:package>miCoPTCM</r:package><r:version>1.1</r:version><r:status>success</r:status><r:repository>https://aurelie-bertrand.r-universe.dev</r:repository><r:upstream>https://github.com/cran/miCoPTCM</r:upstream></item></channel></rss>