<?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>renova-r.r-universe.dev</title><link>https://renova-r.r-universe.dev</link><description>Recent package updates in renova-r</description><generator>R-universe</generator><image><url>https://github.com/renova-r.png</url><title>R packages by renova-r</title><link>https://renova-r.r-universe.dev</link></image><lastBuildDate>Fri, 13 Nov 2026 05:46:48 GMT</lastBuildDate><item><title>[renova-r] reactablefmtr 2.0.0.9001</title><author>kyle.cuilla@gmail.com (Kyle Cuilla)</author><description>Provides various features to streamline and enhance the
styling of interactive reactable tables with easy-to-use and
highly-customizable functions and themes. Apply conditional
formatting to cells with data bars, color scales, color tiles,
and icon sets. Utilize custom table themes inspired by popular
websites such and bootstrap themes. Apply sparkline line &amp; bar
charts (note this feature requires the 'dataui' package which
can be downloaded from
&lt;https://github.com/timelyportfolio/dataui&gt;). Increase the
portability and reproducibility of reactable tables by
embedding images from the web directly into cells. Save the
final table output as a static image or interactive file.
Compatibility updates by Renova.</description><link>https://github.com/r-universe/renova-r/actions/runs/43374382861</link><pubDate>Fri, 13 Nov 2026 05:46:48 GMT</pubDate><r:package>reactablefmtr</r:package><r:version>2.0.0.9001</r:version><r:status>success</r:status><r:repository>https://renova-r.r-universe.dev</r:repository><r:upstream>https://github.com/renova-r/reactablefmtr</r:upstream></item><item><title>[renova-r] plogr 0.2.0.9001</title><author>krlmlr+r@mailbox.org (Kirill Müller)</author><description>A simple header-only logging library for C++. Add
'LinkingTo: plogr' to 'DESCRIPTION', and '#include &lt;plogr.h&gt;'
in your C++ modules to use it. Compatibility updates by Renova.</description><link>https://github.com/r-universe/renova-r/actions/runs/43374377562</link><pubDate>Fri, 13 Nov 2026 05:43:36 GMT</pubDate><r:package>plogr</r:package><r:version>0.2.0.9001</r:version><r:status>success</r:status><r:repository>https://renova-r.r-universe.dev</r:repository><r:upstream>https://github.com/renova-r/plogr</r:upstream></item><item><title>[renova-r] prettyR 2.2.3.9002</title><author>drjimlemon@gmail.com (Jim Lemon)</author><description>Functions for conventionally formatting descriptive stats,
reshaping data frames and formatting R output as HTML.
Compatibility updates by Renova.</description><link>https://github.com/r-universe/renova-r/actions/runs/43369084020</link><pubDate>Fri, 13 Nov 2026 04:57:41 GMT</pubDate><r:package>prettyR</r:package><r:version>2.2.3.9002</r:version><r:status>success</r:status><r:repository>https://renova-r.r-universe.dev</r:repository><r:upstream>https://github.com/renova-r/prettyR</r:upstream></item><item><title>[renova-r] RSGHB 1.2.2.9001</title><author>jeff.dumont@rsginc.com (Jeff Dumont)</author><description>Functions for estimating models using a Hierarchical
Bayesian (HB) framework. The flexibility comes in allowing the
user to specify the likelihood function directly instead of
assuming predetermined model structures. Types of models that
can be estimated with this code include the family of discrete
choice models (Multinomial Logit, Mixed Logit, Nested Logit,
Error Components Logit and Latent Class) as well ordered
response models like ordered probit and ordered logit. In
addition, the package allows for flexibility in specifying
parameters as either fixed (non-varying across individuals) or
random with continuous distributions. Parameter distributions
supported include normal, positive/negative log-normal,
positive/negative censored normal, and the Johnson SB
distribution. Kenneth Train's Matlab and Gauss code for doing
Hierarchical Bayesian estimation has served as the basis for a
few of the functions included in this package. These
Matlab/Gauss functions have been rewritten to be optimized
within R. Considerable code has been added to increase the
flexibility and usability of the code base. Train's original
Gauss and Matlab code can be found here:
&lt;http://elsa.berkeley.edu/Software/abstracts/train1006mxlhb.html&gt;
See Train's chapter on HB in Discrete Choice with Simulation
here: &lt;http://elsa.berkeley.edu/books/choice2.html&gt;; and his
paper on using HB with non-normal distributions here:
&lt;http://eml.berkeley.edu//~train/trainsonnier.pdf&gt;. The authors
would also like to thank the invaluable contributions of
Stephane Hess and the Choice Modelling Centre:
&lt;https://cmc.leeds.ac.uk/&gt;. Compatibility updates by Renova.</description><link>https://github.com/r-universe/renova-r/actions/runs/43369101789</link><pubDate>Fri, 13 Nov 2026 04:57:15 GMT</pubDate><r:package>RSGHB</r:package><r:version>1.2.2.9001</r:version><r:status>success</r:status><r:repository>https://renova-r.r-universe.dev</r:repository><r:upstream>https://github.com/renova-r/RSGHB</r:upstream><r:article><r:source>RSGHB_HowTo.Rnw</r:source><r:filename>RSGHB_HowTo.pdf</r:filename><r:title>How to use RSGHB</r:title><r:created>2026-11-13 04:57:15</r:created><r:modified>2026-11-13 04:57:15</r:modified></r:article></item><item><title>[renova-r] SamplerCompare 1.3.4.9001</title><author>madeleineth@gmail.com (Madeleine Thompson)</author><description>A framework for running sets of MCMC samplers on sets of
distributions with a variety of tuning parameters, along with
plotting functions to visualize the results of those
simulations. Compatibility updates by Renova.</description><link>https://github.com/r-universe/renova-r/actions/runs/43369097396</link><pubDate>Fri, 13 Nov 2026 04:56:48 GMT</pubDate><r:package>SamplerCompare</r:package><r:version>1.3.4.9001</r:version><r:status>success</r:status><r:repository>https://renova-r.r-universe.dev</r:repository><r:upstream>https://github.com/renova-r/SamplerCompare</r:upstream><r:article><r:source>sc-intro.Rnw</r:source><r:filename>sc-intro.pdf</r:filename><r:title>Introduction to SamplerCompare</r:title><r:created>2026-11-13 04:56:48</r:created><r:modified>2026-11-13 04:56:48</r:modified></r:article><r:article><r:source>glue.Rnw</r:source><r:filename>glue.pdf</r:filename><r:title>R/C Glue in SamplerCompare</r:title><r:created>2026-11-13 04:56:48</r:created><r:modified>2026-11-13 04:56:48</r:modified></r:article></item><item><title>[renova-r] BBSSL 0.1.0.9001</title><author>lizhen@uchicago.edu (Lizhen Nie)</author><description>Posterior sampling for Spike-and-Slab LASSO prior in
linear models from Nie and Rockova
&lt;doi:10.48550/arXiv.2011.14279&gt;. Compatibility updates by
Renova.</description><link>https://github.com/r-universe/renova-r/actions/runs/43369090567</link><pubDate>Fri, 13 Nov 2026 04:56:31 GMT</pubDate><r:package>BBSSL</r:package><r:version>0.1.0.9001</r:version><r:status>success</r:status><r:repository>https://renova-r.r-universe.dev</r:repository><r:upstream>https://github.com/renova-r/BBSSL</r:upstream></item></channel></rss>