Package: ppseq 0.2.5

ppseq: Design Clinical Trials using Sequential Predictive Probability Monitoring

Functions are available to calibrate designs over a range of posterior and predictive thresholds, to plot the various design options, and to obtain the operating characteristics of optimal accuracy and optimal efficiency designs.

Authors:Emily C. Zabor [aut, cre], Brian P. Hobbs [aut], Michael J. Kane [aut]

ppseq_0.2.5.tar.gz
ppseq_0.2.5.zip(r-4.5)ppseq_0.2.5.zip(r-4.4)ppseq_0.2.5.zip(r-4.3)
ppseq_0.2.5.tgz(r-4.4-any)ppseq_0.2.5.tgz(r-4.3-any)
ppseq_0.2.5.tar.gz(r-4.5-noble)ppseq_0.2.5.tar.gz(r-4.4-noble)
ppseq_0.2.5.tgz(r-4.4-emscripten)ppseq_0.2.5.tgz(r-4.3-emscripten)
ppseq.pdf |ppseq.html
ppseq/json (API)
NEWS

# Install 'ppseq' in R:
install.packages('ppseq', repos = c('https://zabore.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/zabore/ppseq/issues

Datasets:

On CRAN:

8 exports 5 stars 1.82 score 77 dependencies 28 scripts 261 downloads

Last updated 14 days agofrom:75eac30702. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 05 2024
R-4.5-winOKSep 05 2024
R-4.5-linuxOKSep 05 2024
R-4.4-winOKSep 05 2024
R-4.4-macOKSep 05 2024
R-4.3-winOKSep 05 2024
R-4.3-macOKSep 05 2024

Exports:calc_decision_rulescalc_nextcalc_posteriorcalc_predictivecalibrate_posterior_thresholdcalibrate_thresholdsoptimize_designsim_single_trial

Dependencies:askpassbase64encbslibcachemclicodetoolscolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsfurrrfuturegenericsggplot2globalsgluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelistenvmagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslparallellypatchworkpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

One-sample expansion cohort

Rendered fromone_sample_expansion.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2022-10-03
Started: 2021-03-02

Two-sample randomized trial

Rendered fromtwo_sample_randomized.Rmdusingknitr::rmarkdownon Sep 05 2024.

Last update: 2022-10-03
Started: 2021-04-13