<?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>rgempp.r-universe.dev</title><link>https://rgempp.r-universe.dev</link><description>Recent package updates in rgempp</description><generator>R-universe</generator><image><url>https://github.com/rgempp.png</url><title>R packages by rgempp</title><link>https://rgempp.r-universe.dev</link></image><lastBuildDate>Thu, 28 May 2026 13:13:07 GMT</lastBuildDate><item><title>[rgempp] csemGT 1.0.0</title><author>rene.gempp@udp.cl (René Gempp)</author><description>Estimates the per-person conditional standard error of
measurement (CSEM) under the persons-by-items single-facet
crossed design of Generalizability Theory, following Brennan
(1998) &lt;doi:10.1177/014662169802200401&gt;. Implements three
estimators of the relative error variance (full, large_a,
uncorrelated) and the closed-form absolute error variance, with
both analytical and item-resampling bootstrap sampling
variances, quadratic smoothing of CSEMs on observed score,
D-study extrapolation, and base-graphics plotting.</description><link>https://github.com/r-universe/rgempp/actions/runs/26814254803</link><pubDate>Thu, 28 May 2026 13:13:07 GMT</pubDate><r:package>csemGT</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://rgempp.r-universe.dev</r:repository><r:upstream>https://github.com/rgempp/csemgt</r:upstream><r:article><r:source>intro-csem-gt.Rmd</r:source><r:filename>intro-csem-gt.html</r:filename><r:title>Introduction to csemGT</r:title><r:created>2026-05-19 20:14:57</r:created><r:modified>2026-05-27 19:32:20</r:modified></r:article><r:article><r:source>examples.Rmd</r:source><r:filename>examples.html</r:filename><r:title>Worked examples</r:title><r:created>2026-05-26 21:26:53</r:created><r:modified>2026-05-27 19:32:20</r:modified></r:article></item><item><title>[rgempp] personnelSelectionUtility 1.0.2</title><author>rene.gempp@udp.cl (René Gempp)</author><description>Implements classical and contemporary utility-analysis
methods for personnel selection, organised by criterion scale
(classification or continuous/monetary) and selection structure
(compensatory or multiple-hurdle). Methods include
Taylor-Russell classification (Taylor and Russell, 1939,
&lt;doi:10.1037/h0057079&gt;), Brogden-Cronbach-Gleser monetary
utility (Brogden, 1949,
&lt;doi:10.1111/j.1744-6570.1949.tb01397.x&gt;),
Schmidt-Hunter-Pearlman intervention utility (Schmidt and
others, 1979, &lt;doi:10.1037/0021-9010.64.6.609&gt;), Sturman
comprehensive cascade (Sturman, 2001, &lt;doi:10.1108/eb029072&gt;),
Thomas-Owen-Gunst multivariate classification (Thomas and
others, 1977, &lt;doi:10.3102/10769986002001055&gt;), compensatory
versus multiple-hurdle simulation (Ock and Oswald, 2018,
&lt;doi:10.1027/1866-5888/a000205&gt;), AUC-to-effect-size
conversions (Salgado, 2018, &lt;doi:10.5093/ejpalc2018a5&gt;), Pareto
frontiers for validity-diversity trade-offs, and Monte Carlo
uncertainty propagation.</description><link>https://github.com/r-universe/rgempp/actions/runs/26215099405</link><pubDate>Thu, 21 May 2026 03:31:07 GMT</pubDate><r:package>personnelSelectionUtility</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://rgempp.r-universe.dev</r:repository><r:upstream>https://github.com/rgempp/personnelselectionutility</r:upstream><r:article><r:source>compensatory-vs-multiple-hurdle-simulation.Rmd</r:source><r:filename>compensatory-vs-multiple-hurdle-simulation.html</r:filename><r:title>Compensatory versus multiple-hurdle selection simulation</r:title><r:created>2026-05-04 04:11:07</r:created><r:modified>2026-05-05 23:38:09</r:modified></r:article><r:article><r:source>continuous-monetary-utility-bcg-boudreau-sturman.Rmd</r:source><r:filename>continuous-monetary-utility-bcg-boudreau-sturman.html</r:filename><r:title>Continuous and monetary utility: Naylor-Shine, BCG, Boudreau, and Sturman</r:title><r:created>2026-05-04 04:11:07</r:created><r:modified>2026-05-05 23:38:09</r:modified></r:article><r:article><r:source>reproductions.Rmd</r:source><r:filename>reproductions.html</r:filename><r:title>Reproducing canonical examples from the literature</r:title><r:created>2026-05-05 23:38:09</r:created><r:modified>2026-05-05 23:38:09</r:modified></r:article><r:article><r:source>taylor-russell-and-thomas-owen-gunst.Rmd</r:source><r:filename>taylor-russell-and-thomas-owen-gunst.html</r:filename><r:title>Taylor-Russell and the Thomas-Owen-Gunst multivariate extension</r:title><r:created>2026-05-04 04:11:07</r:created><r:modified>2026-05-05 23:38:09</r:modified></r:article><r:article><r:source>utility-analysis-taxonomy.Rmd</r:source><r:filename>utility-analysis-taxonomy.html</r:filename><r:title>Utility-analysis taxonomy for personnel selection</r:title><r:created>2026-05-04 04:11:07</r:created><r:modified>2026-05-05 23:38:09</r:modified></r:article></item><item><title>[cran] personnelSelectionUtility 1.0.2</title><author>rene.gempp@udp.cl (René Gempp)</author><description>Implements classical and contemporary utility-analysis
methods for personnel selection, organised by criterion scale
(classification or continuous/monetary) and selection structure
(compensatory or multiple-hurdle). Methods include
Taylor-Russell classification (Taylor and Russell, 1939,
&lt;doi:10.1037/h0057079&gt;), Brogden-Cronbach-Gleser monetary
utility (Brogden, 1949,
&lt;doi:10.1111/j.1744-6570.1949.tb01397.x&gt;),
Schmidt-Hunter-Pearlman intervention utility (Schmidt and
others, 1979, &lt;doi:10.1037/0021-9010.64.6.609&gt;), Sturman
comprehensive cascade (Sturman, 2001, &lt;doi:10.1108/eb029072&gt;),
Thomas-Owen-Gunst multivariate classification (Thomas and
others, 1977, &lt;doi:10.3102/10769986002001055&gt;), compensatory
versus multiple-hurdle simulation (Ock and Oswald, 2018,
&lt;doi:10.1027/1866-5888/a000205&gt;), AUC-to-effect-size
conversions (Salgado, 2018, &lt;doi:10.5093/ejpalc2018a5&gt;), Pareto
frontiers for validity-diversity trade-offs, and Monte Carlo
uncertainty propagation.</description><link>https://github.com/r-universe/cran/actions/runs/26166606965</link><pubDate>Wed, 20 May 2026 08:50:02 GMT</pubDate><r:package>personnelSelectionUtility</r:package><r:version>1.0.2</r:version><r:status>success</r:status><r:repository>https://cran.r-universe.dev</r:repository><r:upstream>https://github.com/cran/personnelSelectionUtility</r:upstream><r:article><r:source>compensatory-vs-multiple-hurdle-simulation.Rmd</r:source><r:filename>compensatory-vs-multiple-hurdle-simulation.html</r:filename><r:title>Compensatory versus multiple-hurdle selection simulation</r:title><r:created>2026-05-20 08:50:02</r:created><r:modified>2026-05-20 08:50:02</r:modified></r:article><r:article><r:source>continuous-monetary-utility-bcg-boudreau-sturman.Rmd</r:source><r:filename>continuous-monetary-utility-bcg-boudreau-sturman.html</r:filename><r:title>Continuous and monetary utility: Naylor-Shine, BCG, Boudreau, and Sturman</r:title><r:created>2026-05-20 08:50:02</r:created><r:modified>2026-05-20 08:50:02</r:modified></r:article><r:article><r:source>reproductions.Rmd</r:source><r:filename>reproductions.html</r:filename><r:title>Reproducing canonical examples from the literature</r:title><r:created>2026-05-20 08:50:02</r:created><r:modified>2026-05-20 08:50:02</r:modified></r:article><r:article><r:source>taylor-russell-and-thomas-owen-gunst.Rmd</r:source><r:filename>taylor-russell-and-thomas-owen-gunst.html</r:filename><r:title>Taylor-Russell and the Thomas-Owen-Gunst multivariate extension</r:title><r:created>2026-05-20 08:50:02</r:created><r:modified>2026-05-20 08:50:02</r:modified></r:article><r:article><r:source>utility-analysis-taxonomy.Rmd</r:source><r:filename>utility-analysis-taxonomy.html</r:filename><r:title>Utility-analysis taxonomy for personnel selection</r:title><r:created>2026-05-20 08:50:02</r:created><r:modified>2026-05-20 08:50:02</r:modified></r:article></item></channel></rss>