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], GlaxoSmithKline Research & Development Limited [cph, fnd]

beastt_0.0.2.tar.gz
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beastt_0.0.2.tgz(r-4.4-any)beastt_0.0.2.tgz(r-4.3-any)
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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

Datasets:

ex_binary_df - External Binary Control Data for Propensity Score Balancing
ex_norm_df - External Normal 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

On CRAN:

13 exports 2 stars 2.13 score 83 dependencies 3 scripts 861 downloads

Last updated 1 months agofrom:de59b607d3. Checks:OK: 1 NOTE: 6. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 07 2024
R-4.5-win	NOTE	Sep 07 2024
R-4.5-linux	NOTE	Sep 07 2024
R-4.4-win	NOTE	Sep 07 2024
R-4.4-mac	NOTE	Sep 07 2024
R-4.3-win	NOTE	Sep 07 2024
R-4.3-mac	NOTE	Sep 07 2024

Exports:calc_post_beta calc_post_norm calc_power_prior_beta calc_power_prior_norm calc_prop_scr glance is_prop_scr plot_dist prop_scr_dens prop_scr_hist prop_scr_love robustify_norm tidy

Dependencies:askpass backports base64enc bslib cachem chk cli cobalt colorspace cpp11 crayon crosstalk curl data.table digest distributional dplyr evaluate fansi farver fastmap fontawesome fs generics ggdist ggplot2 glue gridExtra gtable highr htmltools htmlwidgets httr isoband jquerylib jsonlite kernlab knitr labeling later lattice lazyeval lifecycle magrittr MASS Matrix memoise mgcv mime mixtools munsell nlme numDeriv openssl pillar pkgconfig plotly promises purrr quadprog R6 rappdirs RColorBrewer Rcpp rlang rmarkdown sass scales segmented stringi stringr survival sys tibble tidyr tidyselect tinytex utf8 vctrs viridisLite withr xfun yaml

Binary Endpoint Case - Borrowing from an External Control Arm

Rendered frombinary.Rmdusingknitr::rmarkdownon Sep 07 2024.

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

Normal Endpoint Case with Assumed Known SD - Borrowing from an External Control Arm

Rendered fromcontinuous.Rmdusingknitr::rmarkdownon Sep 07 2024.

Last update: 2024-06-17
Started: 2024-02-08

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate Posterior Beta	calc_post_beta
Calculate Posterior Normal	calc_post_norm
Calculate Power Prior Beta	calc_power_prior_beta
Calculate Power Prior Normal	calc_power_prior_norm
Create a Propensity Score Object	calc_prop_scr
External Binary Control Data for Propensity Score Balancing	ex_binary_df
External Normal Control Data for Propensity Score Balancing	ex_norm_df
Internal Binary Data for Propensity Score Balancing	int_binary_df
Internal Normal Data for Propensity Score Balancing	int_norm_df
Test If Propensity Score Object	is_prop_scr
Plot Distribution	plot_dist
Density of the Propensity Score Object	prop_scr_dens
Histogram of the Propensity Score Object	prop_scr_hist
Love Plot of the Absolute Standardized Mean Differences	prop_scr_love
Robustify Normal Distributions	robustify_norm