<?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>bernardsilverman.r-universe.dev</title><link>https://bernardsilverman.r-universe.dev</link><description>Recent package updates in bernardsilverman</description><generator>R-universe</generator><image><url>https://github.com/bernardsilverman.png</url><title>R packages by bernardsilverman</title><link>https://bernardsilverman.r-universe.dev</link></image><lastBuildDate>Tue, 13 Oct 2026 21:28:47 GMT</lastBuildDate><item><title>[bernardsilverman] MultipleSystemsEstimation 1.3.2</title><author>bernard.silverman@stats.ox.ac.uk (Bernard W. Silverman)</author><description>Methods for multiple systems estimation using Poisson
log-linear models, with particular attention to sparse capture
data, model selection and its associated uncertainty, and
Bayesian thresholding of interaction effects. The package
implements and extends methodology from Silverman (2020)
&lt;doi:10.1111/rssa.12505&gt;, Chan, Silverman and Vincent (2021)
&lt;doi:10.1080/01621459.2019.1708748&gt;, and Silverman, Chan and
Vincent (2024) &lt;doi:10.1007/s11222-023-10346-9&gt;.</description><link>https://github.com/r-universe/bernardsilverman/actions/runs/39935207662</link><pubDate>Tue, 13 Oct 2026 21:28:47 GMT</pubDate><r:package>MultipleSystemsEstimation</r:package><r:version>1.3.2</r:version><r:status>success</r:status><r:repository>https://bernardsilverman.r-universe.dev</r:repository><r:upstream>https://github.com/bernardsilverman/multiplesystemsestimation</r:upstream><r:article><r:source>user-guide.Rmd</r:source><r:filename>user-guide.html</r:filename><r:title>A User Guide to MultipleSystemsEstimation</r:title><r:created>2026-08-09 13:01:27</r:created><r:modified>2026-10-13 10:49:47</r:modified></r:article><r:article><r:source>bayesian-threshold.Rmd</r:source><r:filename>bayesian-threshold.html</r:filename><r:title>Bayesian-thresholding multiple systems estimation</r:title><r:created>2026-08-16 19:58:35</r:created><r:modified>2026-10-13 10:49:47</r:modified></r:article><r:article><r:source>bic-model-selection-and-bootstrap-inference.Rmd</r:source><r:filename>bic-model-selection-and-bootstrap-inference.html</r:filename><r:title>BIC model selection and bootstrap inference</r:title><r:created>2026-10-13 10:49:47</r:created><r:modified>2026-10-13 10:49:47</r:modified></r:article><r:article><r:source>captures-and-models.Rmd</r:source><r:filename>captures-and-models.html</r:filename><r:title>Capture histories and hierarchical models</r:title><r:created>2026-10-13 10:49:47</r:created><r:modified>2026-10-13 13:51:58</r:modified></r:article><r:article><r:source>reproduce-2024-bic-bootstrap.Rmd</r:source><r:filename>reproduce-2024-bic-bootstrap.html</r:filename><r:title>Reproducing the 2024 BIC bootstrap investigations</r:title><r:created>2026-10-13 10:49:47</r:created><r:modified>2026-10-13 10:49:47</r:modified></r:article><r:article><r:source>sparse-data-and-stepwise.Rmd</r:source><r:filename>sparse-data-and-stepwise.html</r:filename><r:title>Sparse data, stepwise model selection and the bootstrap</r:title><r:created>2026-10-13 10:49:47</r:created><r:modified>2026-10-13 10:49:47</r:modified></r:article></item></channel></rss>