<?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>dcr-unibe-ch.r-universe.dev</title><link>https://dcr-unibe-ch.r-universe.dev</link><description>Recent package updates in dcr-unibe-ch</description><generator>R-universe</generator><image><url>https://github.com/dcr-unibe-ch.png</url><title>R packages by dcr-unibe-ch</title><link>https://dcr-unibe-ch.r-universe.dev</link></image><lastBuildDate>Tue, 26 May 2026 07:08:53 GMT</lastBuildDate><item><title>[dcr-unibe-ch] presize 0.3.13</title><author>alan.haynes@unibe.ch (Alan G. Haynes)</author><description>Bland (2009) &lt;doi:10.1136/bmj.b3985&gt; recommended to base
study sizes on the width of the confidence interval rather the
power of a statistical test. The goal of 'presize' is to
provide functions for such precision based sample size
calculations. For a given sample size, the functions will
return the precision (width of the confidence interval), and
vice versa.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/26439980332</link><pubDate>Tue, 26 May 2026 07:08:53 GMT</pubDate><r:package>presize</r:package><r:version>0.3.13</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/presize</r:upstream><r:article><r:source>presize.Rmd</r:source><r:filename>presize.html</r:filename><r:title>presize</r:title><r:created>2022-03-02 14:35:36</r:created><r:modified>2022-08-15 08:32:25</r:modified></r:article></item><item><title>[dcr-unibe-ch] powergrid 0.5.2</title><author>info@gillesdutilh.com (Gilles Dutilh)</author><description>Evaluate a function across a grid of parameters. The
function may be evaluated once, or many times for simulation.
Parallel computing is facilitated. Utilities aim at performing
analyses of power and sample size, allowing for easy search of
minimum n (or min/max of any other parameter) to achieve a
desired minimal level of power (or maximum of any other
objective). Plotting functions are included that present the
dependency of n and power in relation to further assumptions.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/26328843755</link><pubDate>Thu, 23 Apr 2026 12:15:50 GMT</pubDate><r:package>powergrid</r:package><r:version>0.5.2</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/SwissClinicalTrialOrganisation/powergrid</r:upstream><r:article><r:source>powergrid.Rmd</r:source><r:filename>powergrid.html</r:filename><r:title>powergrid</r:title><r:created>2025-03-27 18:31:56</r:created><r:modified>2025-10-01 10:24:58</r:modified></r:article></item><item><title>[dcr-unibe-ch] CTUtemplate 0.6.11</title><author>alan.haynes@unibe.ch (Alan G. Haynes)</author><description>Templates and functions for use in CTU Bern.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/25596537332</link><pubDate>Thu, 09 Apr 2026 12:46:24 GMT</pubDate><r:package>CTUtemplate</r:package><r:version>0.6.11</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/CTUtemplate</r:upstream></item><item><title>[ctu-bern] unibeCols 0.0.2</title><author>alan.haynes@unibe.ch (Alan G. Haynes)</author><description>The University of Bern has a set of corporate design
colours. This package has functions that contain them.</description><link>https://github.com/r-universe/ctu-bern/actions/runs/26277451151</link><pubDate>Mon, 23 Mar 2026 17:08:11 GMT</pubDate><r:package>unibeCols</r:package><r:version>0.0.2</r:version><r:status>success</r:status><r:repository>https://ctu-bern.r-universe.dev</r:repository><r:upstream>https://github.com/CTU-Bern/unibeCols</r:upstream></item><item><title>[dcr-unibe-ch] unibeCols 0.0.2</title><author>alan.haynes@unibe.ch (Alan G. Haynes)</author><description>The University of Bern has a set of corporate design
colours. This package has functions that contain them.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/26277458347</link><pubDate>Mon, 23 Mar 2026 17:08:11 GMT</pubDate><r:package>unibeCols</r:package><r:version>0.0.2</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/unibeCols</r:upstream></item><item><title>[dcr-unibe-ch] svn 0.4.0</title><author>aghaynes@gmail.com (Alan Haynes)</author><description>Get information on SVN repositories through R. Explore
file status, commit logs etc.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/26329404170</link><pubDate>Mon, 23 Mar 2026 17:07:31 GMT</pubDate><r:package>svn</r:package><r:version>0.4.0</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/svn</r:upstream></item><item><title>[dcr-unibe-ch] redcaptools 0.5.2</title><author>alan.haynes@unibe.ch (Alan G Haynes)</author><description>Tools for exporting and working with REDCap data (e.g.
adding labels, formatting dates).</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/26277589305</link><pubDate>Mon, 23 Mar 2026 17:05:59 GMT</pubDate><r:package>redcaptools</r:package><r:version>0.5.2</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/redcaptools</r:upstream><r:article><r:source>api_endpoints.Rmd</r:source><r:filename>api_endpoints.html</r:filename><r:title>REDCap API endpoints</r:title><r:created>2024-04-05 15:08:12</r:created><r:modified>2024-04-05 15:08:12</r:modified></r:article><r:article><r:source>redcaptools.Rmd</r:source><r:filename>redcaptools.html</r:filename><r:title>redcaptools</r:title><r:created>2022-04-05 06:53:40</r:created><r:modified>2024-04-05 15:08:12</r:modified></r:article></item><item><title>[ctu-bern] kpitools 0.2.3</title><author>alan.haynes@unibe.ch (Alan G. Haynes)</author><description>Assessing performance of clinical trials can assist
identify problems earlier in the trial than might be possible
without it and help to improve trial quality. Tools for the
creating performance indicator reports are however uncommon.
'kpitools' aims to provide tools to create such reports.</description><link>https://github.com/r-universe/ctu-bern/actions/runs/26277531422</link><pubDate>Mon, 23 Mar 2026 17:03:52 GMT</pubDate><r:package>kpitools</r:package><r:version>0.2.3</r:version><r:status>success</r:status><r:repository>https://ctu-bern.r-universe.dev</r:repository><r:upstream>https://github.com/CTU-Bern/kpitools</r:upstream><r:article><r:source>fabrication.Rmd</r:source><r:filename>fabrication.html</r:filename><r:title>Detecting data fabrication with kpitools</r:title><r:created>2021-06-23 06:09:07</r:created><r:modified>2021-06-23 06:09:07</r:modified></r:article><r:article><r:source>kpitools.Rmd</r:source><r:filename>kpitools.html</r:filename><r:title>Using kpitools</r:title><r:created>2021-05-10 14:02:47</r:created><r:modified>2021-06-17 14:16:08</r:modified></r:article></item><item><title>[dcr-unibe-ch] kpitools 0.2.3</title><author>alan.haynes@unibe.ch (Alan G. Haynes)</author><description>Assessing performance of clinical trials can assist
identify problems earlier in the trial than might be possible
without it and help to improve trial quality. Tools for the
creating performance indicator reports are however uncommon.
'kpitools' aims to provide tools to create such reports.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/26277802224</link><pubDate>Mon, 23 Mar 2026 17:03:52 GMT</pubDate><r:package>kpitools</r:package><r:version>0.2.3</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/kpitools</r:upstream><r:article><r:source>fabrication.Rmd</r:source><r:filename>fabrication.html</r:filename><r:title>Detecting data fabrication with kpitools</r:title><r:created>2021-06-23 06:09:07</r:created><r:modified>2021-06-23 06:09:07</r:modified></r:article><r:article><r:source>kpitools.Rmd</r:source><r:filename>kpitools.html</r:filename><r:title>Using kpitools</r:title><r:created>2021-05-10 14:02:47</r:created><r:modified>2021-06-17 14:16:08</r:modified></r:article></item><item><title>[ctu-bern] harmBounds 0.4.0</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/26277552224</link><pubDate>Mon, 23 Mar 2026 17:02:53 GMT</pubDate><r:package>harmBounds</r:package><r:version>0.4.0</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></item><item><title>[dcr-unibe-ch] harmBounds 0.4.0</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/26277524147</link><pubDate>Mon, 23 Mar 2026 17:02:53 GMT</pubDate><r:package>harmBounds</r:package><r:version>0.4.0</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></item><item><title>[dcr-unibe-ch] forplot 0.0.4</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/26277472733</link><pubDate>Mon, 23 Mar 2026 17:02:05 GMT</pubDate><r:package>forplot</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/forplot</r:upstream></item><item><title>[ctu-bern] forplot 0.0.4</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/26277465518</link><pubDate>Mon, 23 Mar 2026 17:02:05 GMT</pubDate><r:package>forplot</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/forplot</r:upstream></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/26277757060</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>[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/26277509348</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] 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/26277596224</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><item><title>[dcr-unibe-ch] randotools 0.2.6</title><author>alan.haynes@unibe.ch (Alan G Haynes)</author><description>Randomization lists are an integral component of
randomized clinical trials. 'randotools' provides tools to
easily create such lists.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/26277824435</link><pubDate>Mon, 23 Mar 2026 16:29:08 GMT</pubDate><r:package>randotools</r:package><r:version>0.2.6</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/randotools</r:upstream><r:article><r:source>imbalance.Rmd</r:source><r:filename>imbalance.html</r:filename><r:title>Assessing imbalance</r:title><r:created>2025-05-15 07:15:28</r:created><r:modified>2025-05-15 07:15:28</r:modified></r:article><r:article><r:source>randotools.Rmd</r:source><r:filename>randotools.html</r:filename><r:title>randotools</r:title><r:created>2025-05-07 12:57:22</r:created><r:modified>2025-05-07 12:57:22</r:modified></r:article></item><item><title>[dcr-unibe-ch] SCTORvalidation 0.4.5</title><author>alan.haynes@unibe.ch (Alan G Haynes)</author><description>The validation platform consists of three GitHub
repositories, one of which hosts this package. The others host
tests for specific packages, and a location to reports the
results of tests and validations. This package provides tools
to work with that data.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/26088763953</link><pubDate>Fri, 20 Mar 2026 13:54:19 GMT</pubDate><r:package>SCTORvalidation</r:package><r:version>0.4.5</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/SwissClinicalTrialOrganisation/SCTORvalidation_Rpackage</r:upstream><r:article><r:source>contribute.Rmd</r:source><r:filename>contribute.html</r:filename><r:title>Contributing new tests</r:title><r:created>2024-03-13 10:54:52</r:created><r:modified>2024-07-04 07:42:44</r:modified></r:article></item><item><title>[dcr-unibe-ch] survSAKK 1.3.3</title><author>charlotte.micheloud@sakk.ch (Charlotte Micheloud)</author><description>Incorporate various statistics and layout customization
options to enhance the efficiency and adaptability of the
Kaplan-Meier plots.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/25661279171</link><pubDate>Wed, 14 Jan 2026 12:37:09 GMT</pubDate><r:package>survSAKK</r:package><r:version>1.3.3</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/SAKK-Statistics/survSAKK</r:upstream><r:article><r:source>surv.plot.Rmd</r:source><r:filename>surv.plot.html</r:filename><r:title>Creating survival plot</r:title><r:created>2024-01-19 10:16:59</r:created><r:modified>2025-01-07 12:28:22</r:modified></r:article></item><item><title>[dcr-unibe-ch] secuTrialR 1.3.3</title><author>alan.haynes@unibe.ch (Alan G. Haynes)</author><description>Seamless and standardized interaction with data exported
from the clinical data management system (CDMS)
'secuTrial'&lt;https://www.secutrial.com&gt;. The primary data export
the package works with is a standard non-rectangular export.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/25661378271</link><pubDate>Thu, 30 May 2024 09:07:02 GMT</pubDate><r:package>secuTrialR</r:package><r:version>1.3.3</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/SwissClinicalTrialOrganisation/secuTrialR</r:upstream><r:article><r:source>secuTrialR-package-vignette.Rmd</r:source><r:filename>secuTrialR-package-vignette.pdf</r:filename><r:title>secuTrialR - a walkthrough</r:title><r:created>2019-03-25 17:03:10</r:created><r:modified>2020-08-27 10:49:52</r:modified></r:article></item><item><title>[dcr-unibe-ch] sse 0.7-15</title><author>thomas.fabbro@unibas.ch (Thomas Fabbro)</author><description>Provides functions to evaluate user-defined power
functions for a parameter range, and draws a sensitivity plot.
It also provides a resampling procedure for semi-parametric
sample size estimation and methods for adding information to a
Sweave report.</description><link>https://github.com/r-universe/dcr-unibe-ch/actions/runs/25661304444</link><pubDate>Mon, 09 Dec 2019 15:51:48 GMT</pubDate><r:package>sse</r:package><r:version>0.7-15</r:version><r:status>success</r:status><r:repository>https://dcr-unibe-ch.r-universe.dev</r:repository><r:upstream>https://github.com/thofab/sse</r:upstream><r:article><r:source>examples.Rnw</r:source><r:filename>examples.pdf</r:filename><r:title>examples</r:title><r:created>2019-09-24 14:44:11</r:created><r:modified>2019-09-24 14:44:11</r:modified></r:article></item></channel></rss>