<?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>bobidan97.r-universe.dev</title><link>https://bobidan97.r-universe.dev</link><description>Recent package updates in bobidan97</description><generator>R-universe</generator><image><url>https://github.com/bobidan97.png</url><title>R packages by bobidan97</title><link>https://bobidan97.r-universe.dev</link></image><lastBuildDate>Thu, 21 Aug 2025 12:48:14 GMT</lastBuildDate><item><title>[accelstab] AccelStab 2.3.2</title><author>alex_keith_ball@hotmail.com (Alex Ball)</author><description>Estimate the Šesták–Berggren kinetic model (degradation
model) from experimental data. A closed-form (analytic)
solution to the degradation model is implemented as a
non-linear fit, allowing for the extrapolation of the
degradation of a drug product - both in time and temperature.
Parametric bootstrap, with kinetic parameters drawn from the
multivariate t-distribution, and analytical formulae (the delta
method) are available options to calculate the confidence and
prediction intervals. The results (modelling, extrapolations
and statistical intervals) can be visualised with multiple
plots. The examples illustrate the accelerated stability
modelling in drugs and vaccines development.</description><link>https://github.com/r-universe/accelstab/actions/runs/38869871303</link><pubDate>Thu, 21 Aug 2025 12:48:14 GMT</pubDate><r:package>AccelStab</r:package><r:version>2.3.2</r:version><r:status>success</r:status><r:repository>https://accelstab.r-universe.dev</r:repository><r:upstream>https://github.com/accelstab/accelstab</r:upstream><r:article><r:source>AccelStab.Rmd</r:source><r:filename>AccelStab.html</r:filename><r:title>Accelerated Stability Analysis using AccelStab in R</r:title><r:created>2025-05-16 16:19:42</r:created><r:modified>2025-08-21 12:48:14</r:modified></r:article></item></channel></rss>