Package: BPrinStratTTE 0.0.7

Christian Stock

BPrinStratTTE: Causal Effects in Principal Strata Defined by Antidrug Antibodies

Bayesian models to estimate causal effects of biological treatments on time-to-event endpoints in clinical trials with principal strata defined by the occurrence of antidrug antibodies. The methodology is based on Frangakis and Rubin (2002) <doi:10.1111/j.0006-341x.2002.00021.x> and Imbens and Rubin (1997) <doi:10.1214/aos/1034276631>, and here adapted to a specific time-to-event setting.

Authors:Christian Stock [aut, cre], Emma Torrini [aut], Boehringer Ingelheim Pharma GmbH & Co. KG [cph, fnd]

BPrinStratTTE_0.0.7.tar.gz
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BPrinStratTTE_0.0.7.tar.gz(r-4.7-arm64)BPrinStratTTE_0.0.7.tar.gz(r-4.7-x86_64)BPrinStratTTE_0.0.7.tar.gz(r-4.6-arm64)BPrinStratTTE_0.0.7.tar.gz(r-4.6-x86_64)
BPrinStratTTE_0.0.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
BPrinStratTTE/json (API)

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

Bug tracker:https://github.com/boehringer-ingelheim/bprinstrattte/issues

Pkgdown/docs site:https://boehringer-ingelheim.github.io

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

bayesian-methodscausal-inferenceclinical-trialestimandmcmc-methodspharmaceutical-developmentprincipal-stratificationsimulationstantime-to-eventonetbbcpp

2.70 score 438 downloads 16 exports 60 dependencies

Last updated from:78f1a2b792. Checks:10 OK, 3 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK265
linux-devel-x86_64OK349
source / vignettesOK312
linux-release-arm64OK256
linux-release-x86_64OK322
macos-release-arm64OK312
macos-release-x86_64OK553
macos-oldrel-arm64OK244
macos-oldrel-x86_64OK550
windows-devel-x86_64FAIL73
windows-release-x86_64FAIL121
windows-oldrel-x86_64FAIL137
wasm-releaseOK206

Exports:fit_mult_exp_covarfit_mult_exp_nocovarfit_single_exp_covarfit_single_exp_nocovarinv_logitlogitocs_exp_covarocs_exp_nocovarrun_sim_exp_covarrun_sim_exp_nocovarsim_dat_mult_trials_exp_covarsim_dat_mult_trials_exp_nocovarsim_dat_one_trial_exp_covarsim_dat_one_trial_exp_nocovartrue_vals_exp_covartrue_vals_exp_nocovar

Dependencies:abindbackportsBHcallrcheckmateclicodetoolscpp11descdigestdistributionaldplyrfarverfurrrfuturegenericsggplot2globalsgluegridExtragtableinlineisobandlabelinglifecyclelistenvloomagrittrmatrixStatsnumDerivotelparallellypillarpkgbuildpkgconfigposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyselectutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
The 'BPrinStratTTE' package.BPrinStratTTE-package BPrinStratTTE
Fit multiple models to data from two-arm trials with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent eventfit_mult_exp_covar
Fit multiple models to data from two-arm trials with an exponentially distributed time-to-event endpoint and no predictor of the intercurrent eventfit_mult_exp_nocovar
Fit single model to data from a two-arm trial with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent eventfit_single_exp_covar
Fit single model to data from a two-arm trial with an exponentially distributed time-to-event endpoint and no predictor of the intercurrent eventfit_single_exp_nocovar
Inverse logit functioninv_logit
Logit functionlogit
Determine operating characteristics of fits from two-arm trials with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent eventocs_exp_covar
Determine operating characteristics of fits from two-arm trials with an exponentially distributed time-to-event endpoint and no predictor of the intercurrent eventocs_exp_nocovar
Run simulation of two-arm trials with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent eventrun_sim_exp_covar
Run simulation of two-arm trials with an exponentially distributed time-to-event endpoint and no predictor of the intercurrent eventrun_sim_exp_nocovar
Simulate data from multiple two-arm trials with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent eventsim_dat_mult_trials_exp_covar
Simulate data from multiple two-arm trials with an exponentially distributed time-to-event endpoint and no predictor of the intercurrent eventsim_dat_mult_trials_exp_nocovar
Simulate data from a single two-arm trial with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent eventsim_dat_one_trial_exp_covar
Simulate data from a single two-arm trial with an exponentially distributed time-to-event endpoint and no predictor of the intercurrent eventsim_dat_one_trial_exp_nocovar
Adding true values to estimates for models with an exponential endpoint and consideration of predictors of the intercurrent eventtrue_vals_exp_covar
Adding true values to estimates for models with an exponential endpoint and no consideration of predictors of the intercurrent eventtrue_vals_exp_nocovar