Bayesian Evaluation, Analysis, and Simulation Software Tools for Trials
Approximate Multivariate Normal Distribution as Beta at a Specific Tim...
Calculate Average Distribution from Multiple Distributional Objects
The 'beastt' package.
Bootstrap Covariate Data
Calculate Conditional Drift and Treatment Effect for Binary Outcome Mo...
Calculate Conditional Drift and Treatment Effect for Time-to-Event Out...
Calculate Posterior Beta
Calculate Posterior Normal
Calculate Posterior Weibull
Calculate Power Prior Beta
Calculate Power Prior Normal
Calculate Power Prior Weibull
Create a Propensity Score Object
Calculate the Analysis Time Based on a Target Number of Events and/or ...
Inverse Logit Function
Test If Propensity Score Object
Extract Means of Mixture Components
Extract Standard Deviations of Mixture Components
Plot Distribution
Propensity Score Cloud Plot
Density of the Propensity Score Object
Histogram of the Propensity Score Object
Love Plot of the Absolute Standardized Mean Differences
Objects exported from other packages
Rescale a prop_scr object
Robustify Multivariate Normal Distributions
Robustify Normal Distributions
Simulate Participant Accrual Times
Simulate Event Times for Each Individual from a Piecewise Constant Haz...
Simulate Event Times for Each Participant from a Weibull Proportional ...
Create Sweet Spot Plots for Multiple Simulation Scenarios
Tidy a(n) prop_scr object
Trim a prop_scr object
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. This methodology based on Psioda et al (2025) <doi:10.1080/10543406.2025.2489285>.
Useful links