<?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>tomas-udec.r-universe.dev</title><link>https://tomas-udec.r-universe.dev</link><description>Recent package updates in tomas-udec</description><generator>R-universe</generator><image><url>https://github.com/tomas-udec.png</url><title>R packages by tomas-udec</title><link>https://tomas-udec.r-universe.dev</link></image><lastBuildDate>Sat, 22 Aug 2026 16:53:47 GMT</lastBuildDate><item><title>[tomas-udec] tvGarchKF 1.0.0</title><author>tarancibia2016@udec.cl (Tomás Arancibia)</author><description>Estimates the time-varying (tv) parameters of the
GARCH(1,1) model, enabling the modeling of non-stationary
volatilities by allowing the model parameters to change
gradually over time. The estimation and prediction processes
are facilitated through the application of the Kalman filter
and state-space equations. This package supports the estimation
of tv parameters for various deterministic functions, which can
be identified through exploratory analysis of different time
periods or segments of return data. The methodology is grounded
in the framework presented by Ferreira et al. (2017)
&lt;doi:10.1080/00949655.2017.1334778&gt;.</description><link>https://github.com/r-universe/tomas-udec/actions/runs/39576308784</link><pubDate>Sat, 22 Aug 2026 16:53:47 GMT</pubDate><r:package>tvGarchKF</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://tomas-udec.r-universe.dev</r:repository><r:upstream>https://github.com/tomas-udec/tvgarchkf</r:upstream></item></channel></rss>