<?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>kencheung2.r-universe.dev</title><link>https://kencheung2.r-universe.dev</link><description>Recent package updates in kencheung2</description><generator>R-universe</generator><image><url>https://github.com/kencheung2.png</url><title>R packages by kencheung2</title><link>https://kencheung2.r-universe.dev</link></image><lastBuildDate>Fri, 03 Apr 2026 19:08:44 GMT</lastBuildDate><item><title>[kencheung2] McMiso 0.2.0</title><author>yc632@cumc.columbia.edu (Cheung Ken)</author><description>Provides functions for isotonic regression and
classification when there are multiple independent variables.
The functions solve the optimization problem using a projective
Bayes approach with recursive sequential update algorithms, and
are useful for situations with a relatively large number of
covariates. Supports binary outcomes via a Beta-Binomial
conjugate model ('miso', 'PBclassifier') and continuous
outcomes via a Normal-Inverse-Chi-Squared conjugate model
('misoN'). Parallel computing wrappers ('mcmiso',
'mcPBclassifier', 'mcmisoN') are provided that run the down-up
and up-down algorithms simultaneously and return whichever
finishes first. The estimation method follows the projective
Bayes solution described in Cheung and Diaz (2023)
&lt;doi:10.1093/jrsssb/qkad014&gt;.</description><link>https://github.com/r-universe/kencheung2/actions/runs/27122790392</link><pubDate>Fri, 03 Apr 2026 19:08:44 GMT</pubDate><r:package>McMiso</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://kencheung2.r-universe.dev</r:repository><r:upstream>https://github.com/cran/McMiso</r:upstream></item></channel></rss>