<?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>qnnhu.r-universe.dev</title><link>https://qnnhu.r-universe.dev</link><description>Recent package updates in qnnhu</description><generator>R-universe</generator><image><url>https://github.com/qnnhu.png</url><title>R packages by qnnhu</title><link>https://qnnhu.r-universe.dev</link></image><lastBuildDate>Wed, 20 May 2026 22:23:52 GMT</lastBuildDate><item><title>[qnnhu] gctsc 0.2.4</title><author>nqnhu2209@gmail.com (Quynh Nguyen)</author><description>Provides likelihood-based inference for Gaussian and
Student-t copula models for univariate count time series.
Supports Poisson, negative binomial, binomial, beta-binomial,
and zero-inflated marginals with ARMA dependence structures.
Includes simulation, maximum-likelihood estimation, residual
diagnostics, and predictive inference. Implements Time Series
Minimax Exponential Tilting (TMET)
&lt;doi:10.1016/j.csda.2026.108344&gt;, an adaptation of minimax
exponential tilting of Botev (2017) &lt;doi:10.1111/rssb.12162&gt;.
Also provides a linear-cost implementation of the
Geweke–Hajivassiliou–Keane (GHK) simulator following Masarotto
and Varin (2012) &lt;doi:10.1214/12-EJS721&gt;, and the Continuous
Extension (CE) approximation of Nguyen and De Oliveira (2025)
&lt;doi:10.1080/02664763.2025.2498502&gt;. The package follows the S3
design philosophy of 'gcmr' but is developed independently.</description><link>https://github.com/r-universe/qnnhu/actions/runs/27810442791</link><pubDate>Wed, 20 May 2026 22:23:52 GMT</pubDate><r:package>gctsc</r:package><r:version>0.2.4</r:version><r:status>success</r:status><r:repository>https://qnnhu.r-universe.dev</r:repository><r:upstream>https://github.com/qnnhu/gctsc</r:upstream></item></channel></rss>