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'))

Peer review:

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:

cpp

6.44 score 2 stars 4 scripts 506 downloads 18 exports 103 dependencies

Last updated 11 hours agofrom:28bc3449b6. Checks:1 OK, 10 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 30 2025
R-4.5-win-x86_64NOTEJan 30 2025
R-4.5-mac-x86_64NOTEJan 30 2025
R-4.5-mac-aarch64NOTEJan 30 2025
R-4.5-linux-x86_64NOTEJan 30 2025
R-4.4-win-x86_64NOTEJan 30 2025
R-4.4-mac-x86_64NOTEJan 30 2025
R-4.4-mac-aarch64NOTEJan 30 2025
R-4.3-win-x86_64NOTEJan 30 2025
R-4.3-mac-x86_64NOTEJan 30 2025
R-4.3-mac-aarch64NOTEJan 30 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.tabledescdigestdistributionaldplyrevaluatefansifarverfastmapfontawesomefsgenericsggdistggplot2gluegridExtragtablehighrhtmltoolshtmlwidgetshttrinlineisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevallifecycleloomagrittrMASSMatrixmatrixStatsmemoisemgcvmimemixtoolsmunsellmvtnormnlmenumDerivopensslpillarpkgbuildpkgconfigplotlyposteriorprocessxpromisespspurrrquadprogQuickJSRR6rappdirsRColorBrewerRcppRcppEigenRcppParallelrlangrmarkdownrstanrstantoolssassscalessegmentedStanHeadersstringistringrsurvivalsystensorAtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml

Binary Outcome

Rendered frombinary.Rmdusingknitr::rmarkdownon Jan 30 2025.

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

Normal Outcome (Known SD)

Rendered fromcontinuous.Rmdusingknitr::rmarkdownon Jan 30 2025.

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

Time-to-Event Outcome

Rendered fromtte.Rmdusingknitr::rmarkdownon Jan 30 2025.

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