<?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>arnaugarciagrbio.r-universe.dev</title><link>https://arnaugarciagrbio.r-universe.dev</link><description>Recent package updates in arnaugarciagrbio</description><generator>R-universe</generator><image><url>https://github.com/arnaugarciagrbio.png</url><title>R packages by arnaugarciagrbio</title><link>https://arnaugarciagrbio.r-universe.dev</link></image><lastBuildDate>Thu, 29 May 2025 18:02:46 GMT</lastBuildDate><item><title>[arnaugarciagrbio] GofCens 1.5</title><author>klaus.langohr@upc.edu (Klaus Langohr)</author><description>Graphical tools and goodness-of-fit tests for
right-censored data: 1. Kolmogorov-Smirnov, Cramér-von Mises,
and Anderson-Darling tests, which use the empirical
distribution function for complete data and are extended for
right-censored data. 2. Generalized chi-squared-type test,
which is based on the squared differences between observed and
expected counts using random cells with right-censored data. 3.
A series of graphical tools such as probability or cumulative
hazard plots to guide the decision about the most suitable
parametric model for the data. These functions share several
features as they can handle both complete and right-censored
data, and they provide parameter estimates for the
distributions under study.</description><link>https://github.com/r-universe/arnaugarciagrbio/actions/runs/35698070065</link><pubDate>Thu, 29 May 2025 18:02:46 GMT</pubDate><r:package>GofCens</r:package><r:version>1.5</r:version><r:status>success</r:status><r:repository>https://arnaugarciagrbio.r-universe.dev</r:repository><r:upstream>https://github.com/arnaugarciagrbio/gofcens</r:upstream><r:article><r:source>Goodness_of_fit_Tests.Rmd</r:source><r:filename>Goodness_of_fit_Tests.html</r:filename><r:title>Goodness of fit Tests</r:title><r:created>2024-09-25 11:45:28</r:created><r:modified>2025-05-19 08:47:28</r:modified></r:article></item></channel></rss>