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
BPrinStratTTE_0.0.7.zip(r-4.7)BPrinStratTTE_0.0.7.zip(r-4.6)BPrinStratTTE_0.0.7.zip(r-4.5)
BPrinStratTTE_0.0.7.tgz(r-4.6-x86_64)BPrinStratTTE_0.0.7.tgz(r-4.6-arm64)BPrinStratTTE_0.0.7.tgz(r-4.5-x86_64)BPrinStratTTE_0.0.7.tgz(r-4.5-arm64)
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)
manual.pdf |manual.html✨
card.svg |card.png
BPrinStratTTE/json (API)
NEWS

# 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:

c++– GNU Standard C++ Library v3

On CRAN:

bayesian-methods causal-inference clinical-trial estimand mcmc-methods pharmaceutical-development principal-stratification simulation stan time-to-event cpp

2.70 score 186 downloads 16 exports 59 dependencies

Last updated from:78f1a2b792. Checks:12 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	372
linux-devel-x86_64	OK	224
source / vignettes	OK	289
linux-release-arm64	OK	291
linux-release-x86_64	OK	287
macos-release-arm64	OK	295
macos-release-x86_64	OK	416
macos-oldrel-arm64	OK	282
macos-oldrel-x86_64	OK	504
windows-devel	OK	329
windows-release	OK	264
windows-oldrel	OK	420
wasm-release	FAIL	154

Exports:fit_mult_exp_covar fit_mult_exp_nocovar fit_single_exp_covar fit_single_exp_nocovar inv_logit logit ocs_exp_covar ocs_exp_nocovar run_sim_exp_covar run_sim_exp_nocovar sim_dat_mult_trials_exp_covar sim_dat_mult_trials_exp_nocovar sim_dat_one_trial_exp_covar sim_dat_one_trial_exp_nocovar true_vals_exp_covar true_vals_exp_nocovar

Dependencies:abind backports BH callr checkmate cli codetools cpp11 desc digest distributional dplyr farver furrr future generics ggplot2 globals glue gridExtra gtable inline isoband labeling lifecycle listenv loo magrittr matrixStats numDeriv parallelly pillar pkgbuild pkgconfig posterior processx ps purrr QuickJSR R6 RColorBrewer Rcpp RcppEigen RcppParallel rlang rstan rstantools S7 scales StanHeaders stringi stringr tensorA tibble tidyselect utf8 vctrs viridisLite withr

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
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 event	fit_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 event	fit_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 event	fit_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 event	fit_single_exp_nocovar
Inverse logit function	inv_logit
Logit function	logit
Determine operating characteristics of fits from two-arm trials with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent event	ocs_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 event	ocs_exp_nocovar
Run simulation of two-arm trials with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent event	run_sim_exp_covar
Run simulation of two-arm trials with an exponentially distributed time-to-event endpoint and no predictor of the intercurrent event	run_sim_exp_nocovar
Simulate data from multiple two-arm trials with an exponentially distributed time-to-event endpoint and one predictor of the intercurrent event	sim_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 event	sim_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 event	sim_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 event	sim_dat_one_trial_exp_nocovar
Adding true values to estimates for models with an exponential endpoint and consideration of predictors of the intercurrent event	true_vals_exp_covar
Adding true values to estimates for models with an exponential endpoint and no consideration of predictors of the intercurrent event	true_vals_exp_nocovar