<?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>ucl-pharmacometrics.r-universe.dev</title><link>https://ucl-pharmacometrics.r-universe.dev</link><description>Recent package updates in ucl-pharmacometrics</description><generator>R-universe</generator><image><url>https://github.com/ucl-pharmacometrics.png</url><title>R packages by ucl-pharmacometrics</title><link>https://ucl-pharmacometrics.r-universe.dev</link></image><lastBuildDate>Mon, 08 Jun 2026 00:43:52 GMT</lastBuildDate><item><title>[ucl-pharmacometrics] nlmixr2autoinit 1.0.1</title><author>huangzhonghui22@gmail.com (Zhonghui Huang)</author><description>Provides automated methods for generating initial
parameter estimates in population pharmacokinetic modeling. The
pipeline integrates adaptive single-point methods, naive pooled
graphic approaches, noncompartmental analysis methods, and
parameter sweeping across pharmacokinetic models. It estimates
residual unexplained variability using either data-driven or
fixed-fraction approaches and assigns pragmatic initial values
for inter-individual variability. These strategies are designed
to improve model robustness and convergence in 'nlmixr2'
workflows. For more details see Huang Z, Fidler M, Lan M, Cheng
IL, Kloprogge F, Standing JF (2025)
&lt;doi:10.1007/s10928-025-10000-z&gt;.</description><link>https://github.com/r-universe/ucl-pharmacometrics/actions/runs/27117877264</link><pubDate>Mon, 08 Jun 2026 00:43:52 GMT</pubDate><r:package>nlmixr2autoinit</r:package><r:version>1.0.1</r:version><r:status>success</r:status><r:repository>https://ucl-pharmacometrics.r-universe.dev</r:repository><r:upstream>https://github.com/ucl-pharmacometrics/nlmixr2autoinit</r:upstream><r:article><r:source>workflow_nlmixr2.Rmd</r:source><r:filename>workflow_nlmixr2.html</r:filename><r:title>Integration with nlmixr2</r:title><r:created>2026-05-06 21:08:45</r:created><r:modified>2026-05-06 21:08:45</r:modified></r:article><r:article><r:source>workflow_nlmixr2auto.Rmd</r:source><r:filename>workflow_nlmixr2auto.html</r:filename><r:title>Integration with nlmixr2auto</r:title><r:created>2026-05-06 21:08:45</r:created><r:modified>2026-05-06 22:31:17</r:modified></r:article><r:article><r:source>parameter_sweeping.Rmd</r:source><r:filename>parameter_sweeping.html</r:filename><r:title>Parameter Sweeping and Visualisation</r:title><r:created>2026-05-06 21:08:45</r:created><r:modified>2026-05-06 21:08:45</r:modified></r:article><r:article><r:source>running_nlmixr2autoinit.Rmd</r:source><r:filename>running_nlmixr2autoinit.html</r:filename><r:title>Running nlmixr2autoinit</r:title><r:created>2026-05-06 21:08:45</r:created><r:modified>2026-05-07 08:44:11</r:modified></r:article></item><item><title>[ucl-pharmacometrics] nlmixr2auto 1.0.0</title><author>huangzhonghui22@gmail.com (Zhonghui Huang)</author><description>Automated population pharmacokinetic modeling framework
for data-driven initialisation, model evaluation, and
metaheuristic optimization. Supports genetic algorithms, ant
colony optimization, tabu search, and stepwise procedures for
automated model selection and parameter estimation within the
nlmixr2 ecosystem.</description><link>https://github.com/r-universe/ucl-pharmacometrics/actions/runs/27105390593</link><pubDate>Wed, 18 Feb 2026 19:23:06 GMT</pubDate><r:package>nlmixr2auto</r:package><r:version>1.0.0</r:version><r:status>success</r:status><r:repository>https://ucl-pharmacometrics.r-universe.dev</r:repository><r:upstream>https://github.com/ucl-pharmacometrics/nlmixr2auto</r:upstream></item></channel></rss>