<?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>alexangelakis-ang.r-universe.dev</title><link>https://alexangelakis-ang.r-universe.dev</link><description>Recent package updates in alexangelakis-ang</description><generator>R-universe</generator><image><url>https://github.com/alexangelakis-ang.png</url><title>R packages by alexangelakis-ang</title><link>https://alexangelakis-ang.r-universe.dev</link></image><lastBuildDate>Thu, 04 Sep 2025 08:35:29 GMT</lastBuildDate><item><title>[alexangelakis-ang] sparsesurv 0.1.1</title><author>alexandros.angelakis@swisstph.ch (Alexandros Angelakis)</author><description>Functions for fitting, forecasting, and early detection of
outbreaks in sparse surveillance count time series. Supports
negative binomial (NB), self-exciting NB, generalise
autoregressive moving average (GARMA) NB , zero-inflated NB
(ZINB), self-exciting ZINB, generalise autoregressive moving
average ZINB, and hurdle formulations. Climatic and
environmental covariates can be included in the regression
component and/or the zero-modified components. Includes
outbreak-detection algorithms for NB, ZINB, and hurdle models,
with utilities for prediction and diagnostics.</description><link>https://github.com/r-universe/alexangelakis-ang/actions/runs/25656587635</link><pubDate>Thu, 04 Sep 2025 08:35:29 GMT</pubDate><r:package>sparsesurv</r:package><r:version>0.1.1</r:version><r:status>success</r:status><r:repository>https://alexangelakis-ang.r-universe.dev</r:repository><r:upstream>https://github.com/alexangelakis-ang/sparsesurv</r:upstream></item></channel></rss>