<?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>lbueti.r-universe.dev</title><link>https://lbueti.r-universe.dev</link><description>Recent package updates in lbueti</description><generator>R-universe</generator><image><url>https://github.com/lbueti.png</url><title>R packages by lbueti</title><link>https://lbueti.r-universe.dev</link></image><lastBuildDate>Thu, 22 Oct 2026 09:45:55 GMT</lastBuildDate><item><title>[dcr-unibe-ch] forplot 3.4.1</title><author>lukas.buetikofer@unibe.ch (Lukas Bütikofer)</author><description>The package generates forest plots.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/39763324469</link><pubDate>Thu, 22 Oct 2026 09:45:55 GMT</pubDate><r:package>forplot</r:package><r:version>3.4.1</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/dcr-unibe-ch/forplot</r:upstream><r:article><r:source>forplot.Rmd</r:source><r:filename>forplot.html</r:filename><r:title>forplot</r:title><r:created>2026-08-27 06:33:18</r:created><r:modified>2026-10-22 09:45:55</r:modified></r:article></item><item><title>[ctu-bern] forplot 3.4.1</title><author>lukas.buetikofer@unibe.ch (Lukas Bütikofer)</author><description>The package generates forest plots.</description><link>https://github.com/r-universe/ctu-bern/actions/runs/39763329381</link><pubDate>Thu, 22 Oct 2026 09:45:55 GMT</pubDate><r:package>forplot</r:package><r:version>3.4.1</r:version><r:status>success</r:status><r:repository>https://ctu-bern.r-universe.dev</r:repository><r:upstream>https://github.com/CTU-Bern/forplot</r:upstream><r:article><r:source>forplot.Rmd</r:source><r:filename>forplot.html</r:filename><r:title>forplot</r:title><r:created>2026-08-27 06:33:18</r:created><r:modified>2026-10-22 09:45:55</r:modified></r:article></item><item><title>[ctu-bern] harmBounds 2.0.0</title><author>lukas.buetikofer@unibe.ch (Lukas Bütikofer)</author><description>The harmBounds package calculates stopping probabilities,
defines stopping boundaries and generates plots for safety
monitoring using an event based approach.</description><link>https://github.com/r-universe/ctu-bern/actions/runs/36148676630</link><pubDate>Fri, 25 Sep 2026 12:34:30 GMT</pubDate><r:package>harmBounds</r:package><r:version>2.0.0</r:version><r:status>success</r:status><r:repository>https://ctu-bern.r-universe.dev</r:repository><r:upstream>https://github.com/CTU-Bern/harmBounds</r:upstream><r:article><r:source>harmBounds.Rmd</r:source><r:filename>harmBounds.html</r:filename><r:title>harmBounds</r:title><r:created>2026-09-03 14:25:10</r:created><r:modified>2026-09-25 12:34:30</r:modified></r:article></item><item><title>[dcr-unibe-ch] harmBounds 2.0.0</title><author>lukas.buetikofer@unibe.ch (Lukas Bütikofer)</author><description>The harmBounds package calculates stopping probabilities,
defines stopping boundaries and generates plots for safety
monitoring using an event based approach.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/36145944593</link><pubDate>Fri, 25 Sep 2026 12:34:30 GMT</pubDate><r:package>harmBounds</r:package><r:version>2.0.0</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/dcr-unibe-ch/harmBounds</r:upstream><r:article><r:source>harmBounds.Rmd</r:source><r:filename>harmBounds.html</r:filename><r:title>harmBounds</r:title><r:created>2026-09-03 14:25:10</r:created><r:modified>2026-09-25 12:34:30</r:modified></r:article></item><item><title>[dcr-unibe-ch] AdaptiveDesignSim 0.2.0</title><author>lukas.buetikofer@unibe.ch (Lukas Bütikofer)</author><description>Simulates trials with adaptive designs and calculates
opering characteriscs.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/39914453654</link><pubDate>Thu, 11 Jun 2026 16:06:49 GMT</pubDate><r:package>AdaptiveDesignSim</r:package><r:version>0.2.0</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/dcr-unibe-ch/AdaptiveDesignSim</r:upstream></item><item><title>[ctu-bern] btabler 0.0.4</title><author>lukas.buetikofer@unibe.ch (Lukas Bütikofer)</author><description>There are a number of packages for creating LaTeX tables
from R, but they lack feature like merging cells. `btabler`
provides a function to do just that.</description><link>https://github.com/r-universe/ctu-bern/actions/runs/39221983904</link><pubDate>Mon, 23 Mar 2026 16:37:21 GMT</pubDate><r:package>btabler</r:package><r:version>0.0.4</r:version><r:status>success</r:status><r:repository>https://ctu-bern.r-universe.dev</r:repository><r:upstream>https://github.com/CTU-Bern/btabler</r:upstream><r:article><r:source>btabler.Rmd</r:source><r:filename>btabler.html</r:filename><r:title>Using btabler</r:title><r:created>2021-05-06 05:11:55</r:created><r:modified>2021-07-26 08:39:44</r:modified></r:article></item><item><title>[dcr-unibe-ch] btabler 0.0.4</title><author>lukas.buetikofer@unibe.ch (Lukas Bütikofer)</author><description>There are a number of packages for creating LaTeX tables
from R, but they lack feature like merging cells. `btabler`
provides a function to do just that.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/39217323380</link><pubDate>Mon, 23 Mar 2026 16:37:21 GMT</pubDate><r:package>btabler</r:package><r:version>0.0.4</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/dcr-unibe-ch/btabler</r:upstream><r:article><r:source>btabler.Rmd</r:source><r:filename>btabler.html</r:filename><r:title>Using btabler</r:title><r:created>2021-05-06 05:11:55</r:created><r:modified>2021-07-26 08:39:44</r:modified></r:article></item><item><title>[dcr-unibe-ch] accrualPlot 1.0.10</title><author>lukas.buetikofer@unibe.ch (Lukas Bütikofer)</author><description>Tracking accrual in clinical trials is important for trial
success. If accrual is too slow, the trial will take too long
and be too expensive. If accrual is much faster than expected,
time sensitive tasks such as the writing of statistical
analysis plans might need to be rushed. 'accrualPlot' provides
functions to aid the tracking of accrual and predict when a
trial will reach it's intended sample size.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/39217674487</link><pubDate>Mon, 23 Mar 2026 16:34:44 GMT</pubDate><r:package>accrualPlot</r:package><r:version>1.0.10</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/dcr-unibe-ch/accrualPlot</r:upstream><r:article><r:source>accrualPlot.Rmd</r:source><r:filename>accrualPlot.html</r:filename><r:title>accrualPlot</r:title><r:created>2021-05-12 14:11:49</r:created><r:modified>2022-08-08 16:33:00</r:modified></r:article></item></channel></rss>