<?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>t-momozaki.r-universe.dev</title><link>https://t-momozaki.r-universe.dev</link><description>Recent package updates in t-momozaki</description><generator>R-universe</generator><image><url>https://github.com/t-momozaki.png</url><title>R packages by t-momozaki</title><link>https://t-momozaki.r-universe.dev</link></image><lastBuildDate>Mon, 18 May 2026 23:22:24 GMT</lastBuildDate><item><title>[t-momozaki] mhn 0.1.0</title><author>momozaki.stat@gmail.com (Tomotaka Momozaki)</author><description>Provides density, distribution, quantile, and random
generation functions for the Modified Half-Normal (MHN)
distribution, along with moments, mode, and the Fox-Wright Psi
function used as the normalizing constant. The MHN distribution
arises as a conditional posterior in Bayesian MCMC and
generalizes the half-normal, truncated normal, and square-root
gamma distributions. Implements efficient sampling via the Sun,
Kong &amp; Pal (2023) &lt;doi:10.1080/03610926.2021.1934700&gt;
algorithms and the Gao &amp; Wang (2025)
&lt;doi:10.1080/03610918.2025.2524551&gt; RTDR method.</description><link>https://github.com/r-universe/t-momozaki/actions/runs/26572122528</link><pubDate>Mon, 18 May 2026 23:22:24 GMT</pubDate><r:package>mhn</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://t-momozaki.r-universe.dev</r:repository><r:upstream>https://github.com/t-momozaki/mhn</r:upstream><r:article><r:source>introduction.Rmd</r:source><r:filename>introduction.html</r:filename><r:title>Introduction to the mhn Package</r:title><r:created>2026-05-18 06:46:16</r:created><r:modified>2026-05-18 06:46:16</r:modified></r:article><r:article><r:source>theory.Rmd</r:source><r:filename>theory.html</r:filename><r:title>Theoretical background of the mhn package</r:title><r:created>2026-05-18 06:46:16</r:created><r:modified>2026-05-18 06:56:30</r:modified></r:article></item><item><title>[t-momozaki] clmstan 0.1.1</title><author>momozaki.stat@gmail.com (Tomotaka Momozaki)</author><description>Fits cumulative link models (CLMs) for ordinal categorical
data using 'CmdStanR'. Supports various link functions
including logit, probit, cloglog, loglog, cauchit, and flexible
parametric links such as Generalized Extreme Value (GEV),
Asymmetric Exponential Power (AEP), and Symmetric Power. Models
are pre-compiled using the 'instantiate' package for fast
execution without runtime compilation. Methods are described in
Agresti (2010, ISBN:978-0-470-08289-8), Wang and Dey (2011)
&lt;doi:10.1007/s10651-010-0154-8&gt;, and Naranjo, Perez, and Martin
(2015) &lt;doi:10.1007/s11222-014-9449-1&gt;.</description><link>https://github.com/r-universe/t-momozaki/actions/runs/25780569198</link><pubDate>Wed, 11 Feb 2026 23:42:33 GMT</pubDate><r:package>clmstan</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://t-momozaki.r-universe.dev</r:repository><r:upstream>https://github.com/t-momozaki/clmstan</r:upstream><r:article><r:source>getting-started.Rmd</r:source><r:filename>getting-started.html</r:filename><r:title>Getting Started with clmstan</r:title><r:created>2026-02-02 08:44:24</r:created><r:modified>2026-02-02 23:41:32</r:modified></r:article></item></channel></rss>