<?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>jiewentsai.r-universe.dev</title><link>https://jiewentsai.r-universe.dev</link><description>Recent package updates in jiewentsai</description><generator>R-universe</generator><image><url>https://github.com/jiewentsai.png</url><title>R packages by jiewentsai</title><link>https://jiewentsai.r-universe.dev</link></image><lastBuildDate>Wed, 28 Oct 2026 11:00:02 GMT</lastBuildDate><item><title>[cran] tppcm 0.1.0</title><author>tsai.jiewen@gmail.com (Jie-Wen Tsai)</author><description>In the two-parameter partial credit model (TPPCM) of Yu
(1991) &lt;https://hdl.handle.net/2142/21459&gt;, every step of a
polytomous item has its own discrimination. Estimation is left
to existing software: 'TAM' (tam.mml.3pl() with a step design
matrix, tam.mml.2pl(), tam.mml()) and, for the bilinear product
form and non-negativity constraints, 'sirt' (xxirt()). The
package adds what these packages do not provide: standard
errors of step discriminations based on the full observed
information, step-level Wald tests, and score tests with
modification indices and expected parameter changes for moving
down the model ladder saturated TPPCM -&gt; product form -&gt;
generalized partial credit model -&gt; partial credit model,
limited-information fit statistics (the M2 statistic, root mean
square error of approximation, standardized root mean squared
residual, comparative fit index and Tucker-Lewis index;
Maydeu-Olivares and Joe (2006) &lt;doi:10.1007/s11336-005-1295-9&gt;)
for any step design, step contributions to the item
information, and tests of differential step functioning across
groups: per-step Lagrange multiplier tests from one multigroup
fit (Glas (1998)
&lt;https://www3.stat.sinica.edu.tw/statistica/j8n3/j8n32/j8n32.htm&gt;),
with the generalized score test of Boos (1992)
&lt;doi:10.1080/00031305.1992.10475921&gt;, likelihood ratio tests
with configural, metric, scalar and partial multigroup designs,
score-based tests (Merkle and Zeileis (2013)
&lt;doi:10.1007/s11336-012-9302-4&gt;) and model-based trees
(Zeileis, Hothorn and Hornik (2008)
&lt;doi:10.1198/106186008X319331&gt;). The generalized partial credit
model of Muraki (1992) &lt;doi:10.1177/014662169201600206&gt; is the
special case with equal steps within items.</description><link>https://github.com/r-universe/cran/actions/runs/40758676854</link><pubDate>Wed, 28 Oct 2026 11:00:02 GMT</pubDate><r:package>tppcm</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://cran.r-universe.dev</r:repository><r:upstream>https://github.com/cran/tppcm</r:upstream><r:article><r:source>tppcm-recipes.Rmd</r:source><r:filename>tppcm-recipes.html</r:filename><r:title>tppcm recipes</r:title><r:created>2026-10-28 11:00:02</r:created><r:modified>2026-10-28 11:00:02</r:modified></r:article><r:article><r:source>tppcm-tutorial.Rmd</r:source><r:filename>tppcm-tutorial.html</r:filename><r:title>tppcm: step discriminations on top of TAM</r:title><r:created>2026-10-28 11:00:02</r:created><r:modified>2026-10-28 11:00:02</r:modified></r:article></item></channel></rss>