<?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>sygstat.r-universe.dev</title><link>https://sygstat.r-universe.dev</link><description>Recent package updates in sygstat</description><generator>R-universe</generator><image><url>https://github.com/sygstat.png</url><title>R packages by sygstat</title><link>https://sygstat.r-universe.dev</link></image><lastBuildDate>Tue, 28 Jul 2026 01:21:47 GMT</lastBuildDate><item><title>[sygstat] GLmom 2.0.1</title><author>syg.stat@etri.re.kr (Yonggwan Shin)</author><description>Provides generalized L-moments estimation methods for the
generalized extreme value ('GEV') distribution. Implements both
stationary 'GEV' and non-stationary 'GEV11' models where
location and scale parameters vary with time. Includes various
penalty functions (Martins-Stedinger, Park, Cannon,
Coles-Dixon) for shape parameter regularization. Also provides
model averaging estimation ('ma.gev') that combines MLE and
L-moment methods with multiple weighting schemes for robust
high quantile estimation. The 'GLME' methodology is described
in Shin et al. (2025a) &lt;doi:10.48550/arXiv.2512.20385&gt;. The
non-stationary L-moment method is based on Shin et al. (2025b)
&lt;doi:10.1007/s42952-025-00325-3&gt;. The model averaging method is
described in Shin et al. (2026)
&lt;doi:10.1007/s00477-025-03167-x&gt;. See also Hosking (1990)
&lt;doi:10.1111/j.2517-6161.1990.tb01775.x&gt; for L-moments theory
and Martins and Stedinger (2000) &lt;doi:10.1029/1999WR900330&gt; for
penalized likelihood methods.</description><link>https://github.com/r-universe/sygstat/actions/runs/40283071870</link><pubDate>Tue, 28 Jul 2026 01:21:47 GMT</pubDate><r:package>GLmom</r:package><r:version>2.0.1</r:version><r:status>success</r:status><r:repository>https://sygstat.r-universe.dev</r:repository><r:upstream>https://github.com/sygstat/glmom</r:upstream></item></channel></rss>