Package: beastt 0.0.2

Christina Fillmore

beastt: Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials

Bayesian dynamic borrowing with covariate adjustment via inverse probability weighting for simulations and data analyses in clinical trials. This makes it easy to use propensity score methods to balance covariate distributions between external and internal data.

Authors:Christina Fillmore [aut, cre], Ben Arancibia [aut], Nate Bean [aut], Abi Terry [aut], GlaxoSmithKline Research & Development Limited [cph, fnd], Trustees of Columbia University [cph]

beastt_0.0.2.tar.gz
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beastt.pdf |beastt.html✨
beastt/json (API)
NEWS

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

Bug tracker:https://github.com/gsk-biostatistics/beastt/issues

Pkgdown site:https://gsk-biostatistics.github.io

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • ex_binary_df - External Binary Control Data for Propensity Score Balancing
  • ex_norm_df - External Normal Control Data for Propensity Score Balancing
  • ex_tte_df - External Time-to-Event Control Data for Propensity Score Balancing
  • int_binary_df - Internal Binary Data for Propensity Score Balancing
  • int_norm_df - Internal Normal Data for Propensity Score Balancing
  • int_tte_df - Internal Time-to-Event Control Data for Propensity Score Balancing

On CRAN:

Conda:

cpp

6.62 score 3 stars 4 scripts 647 downloads 18 exports 102 dependencies

Last updated 6 days agofrom:45cf6bba26. Checks:4 OK, 8 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 03 2025
R-4.5-win-x86_64NOTEMar 03 2025
R-4.5-mac-x86_64OKMar 03 2025
R-4.5-mac-aarch64OKMar 03 2025
R-4.5-linux-x86_64OKMar 03 2025
R-4.4-win-x86_64NOTEMar 03 2025
R-4.4-mac-x86_64NOTEMar 03 2025
R-4.4-mac-aarch64NOTEMar 03 2025
R-4.4-linux-x86_64NOTEMar 03 2025
R-4.3-win-x86_64NOTEMar 03 2025
R-4.3-mac-x86_64NOTEMar 03 2025
R-4.3-mac-aarch64NOTEMar 03 2025

Exports:calc_post_betacalc_post_normcalc_post_weibullcalc_power_prior_betacalc_power_prior_normcalc_power_prior_weibullcalc_prop_scrglanceis_prop_scrmix_meansmix_sigmasplot_distprop_scr_densprop_scr_histprop_scr_loverobustify_mvnormrobustify_normtidy

Dependencies:abindaskpassbackportsbase64encBHbslibcachemcallrcheckmatechkclicobaltcolorspacecpp11crayoncrosstalkcurldata.tabledescdigestdistributionaldplyrevaluatefansifarverfastmapfontawesomefsgenericsggdistggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrinlineisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecycleloomagrittrMASSMatrixmatrixStatsmemoisemgcvmimemixtoolsmunsellnlmenumDerivopensslpillarpkgbuildpkgconfigplotlyposteriorprocessxpromisespspurrrquadprogQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelrlangrmarkdownrstanrstantoolssassscalessegmentedStanHeadersstringistringrsurvivalsystensorAtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Binary Outcome

Rendered frombinary.Rmdusingknitr::rmarkdownon Mar 03 2025.

Last update: 2024-12-17
Started: 2024-06-14

Normal Outcome (Known SD)

Rendered fromcontinuous.Rmdusingknitr::rmarkdownon Mar 03 2025.

Last update: 2025-01-24
Started: 2024-02-08

Time-to-Event Outcome

Rendered fromtte.Rmdusingknitr::rmarkdownon Mar 03 2025.

Last update: 2025-01-24
Started: 2024-12-10