<?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>chrissy3815.r-universe.dev</title><link>https://chrissy3815.r-universe.dev</link><description>Recent package updates in chrissy3815</description><generator>R-universe</generator><image><url>https://github.com/chrissy3815.png</url><title>R packages by chrissy3815</title><link>https://chrissy3815.r-universe.dev</link></image><lastBuildDate>Wed, 03 Jun 2026 20:36:30 GMT</lastBuildDate><item><title>[chrissy3815] luckieR 0.1.0.9000</title><author>christinahernan@gmail.com (Christina Hernandez)</author><description>User-friendly and generalized tools for the calculation of
luck -- moments of variation in metrics like lifespan and
lifetime reproductive output. We provide tools for calculating
those moments and also performing decompositions into
contributions from, for example, individual traits,
environmental impacts, and luck (also called individual
stochasticity). The functions included here are based on Snyder
and Ellner (2024) &lt;doi:10.1086/730557&gt;, Cochran and Ellner
(1992) &lt;https://www.jstor.org/stable/2937115&gt;, and Hernandez et
al. (2024) &lt;doi:10.1111/ele.14390&gt;.</description><link>https://github.com/r-universe/chrissy3815/actions/runs/26915293995</link><pubDate>Wed, 03 Jun 2026 20:36:30 GMT</pubDate><r:package>luckieR</r:package><r:version>0.1.0.9000</r:version><r:status>success</r:status><r:repository>https://chrissy3815.r-universe.dev</r:repository><r:upstream>https://github.com/chrissy3815/luckier</r:upstream><r:article><r:source>grassEndophyteVignette.Rmd</r:source><r:filename>grassEndophyteVignette.html</r:filename><r:title>GrassEndophyteVignette</r:title><r:created>2026-05-29 16:35:37</r:created><r:modified>2026-06-03 20:36:30</r:modified></r:article></item><item><title>[chrissy3815] exactLTRE 0.1.2.9000</title><author>christinahernan@gmail.com (Christina Hernandez)</author><description>Life Table Response Experiments (LTREs) are a method of
comparative demographic analysis. The purpose is to quantify
how the difference or variance in vital rates (stage-specific
survival, growth, and fertility) among populations contributes
to difference or variance in the population growth rate,
&quot;lambda.&quot; We provide functions for one-way fixed design and
random design LTRE, using either the classical methods that
have been in use for several decades, or an fANOVA-based exact
method that directly calculates the impact on lambda of changes
in matrix elements, for matrix elements and their interactions.
The equations and descriptions for the classical methods of
LTRE analysis can be found in Caswell (2001, ISBN: 0878930965),
and the fANOVA-based exact methods are described in Hernandez
et al. (2023) &lt;doi:10.1111/2041-210X.14065&gt;. We also provide
some demographic functions, including generation time from
Bienvenu and Legendre (2015) &lt;doi:10.1086/681104&gt;. For
implementation of exactLTRE where all possible interactions are
calculated, we use an operator matrix presented in Poelwijk,
Krishna, and Ranganathan (2016)
&lt;doi:10.1371/journal.pcbi.1004771&gt;.</description><link>https://github.com/r-universe/chrissy3815/actions/runs/25660880536</link><pubDate>Sun, 29 Jun 2025 20:50:37 GMT</pubDate><r:package>exactLTRE</r:package><r:version>0.1.2.9000</r:version><r:status>success</r:status><r:repository>https://chrissy3815.r-universe.dev</r:repository><r:upstream>https://github.com/chrissy3815/exactltre</r:upstream></item></channel></rss>