<?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>rdmatheus.r-universe.dev</title><link>https://rdmatheus.r-universe.dev</link><description>Recent package updates in rdmatheus</description><generator>R-universe</generator><image><url>https://github.com/rdmatheus.png</url><title>R packages by rdmatheus</title><link>https://rdmatheus.r-universe.dev</link></image><lastBuildDate>Wed, 04 Mar 2026 13:13:25 GMT</lastBuildDate><item><title>[rdmatheus] cdnbcr 1.1.1</title><author>rodrigo.matheus@ufrn.br (Rodrigo M. R. de Medeiros)</author><description>Provides tools for modeling time-to-event data with a cure
fraction under correlated destructive negative binomial cure
rate models. The models assume multiple latent competing causes
with possible dependence and allow for elimination
(inactivation) of some initial causes. Estimation is performed
via an Expectation-Maximization algorithm, and diagnostic tools
based on Cox-Snell residuals are provided.</description><link>https://github.com/r-universe/rdmatheus/actions/runs/37441685385</link><pubDate>Wed, 04 Mar 2026 13:13:25 GMT</pubDate><r:package>cdnbcr</r:package><r:version>1.1.1</r:version><r:status>success</r:status><r:repository>https://rdmatheus.r-universe.dev</r:repository><r:upstream>https://github.com/rdmatheus/cdnbcr</r:upstream></item><item><title>[rdmatheus] sdlrm 0.1.2</title><author>rodrigo.matheus@ufrn.br (Rodrigo Medeiros)</author><description>Implementation of the modified skew discrete Laplace (SDL)
regression model. The package provides a set of functions for a
complete analysis of integer-valued data, where the dependent
variable is assumed to follow a modified SDL distribution. This
regression model is useful for the analysis of integer-valued
data and experimental studies in which paired discrete
observations are collected.</description><link>https://github.com/r-universe/rdmatheus/actions/runs/39018078722</link><pubDate>Wed, 02 Apr 2025 17:48:23 GMT</pubDate><r:package>sdlrm</r:package><r:version>0.1.2</r:version><r:status>success</r:status><r:repository>https://rdmatheus.r-universe.dev</r:repository><r:upstream>https://github.com/rdmatheus/sdlrm</r:upstream></item></channel></rss>