Propensity Scores | |
|---|---|
Create a Propensity Score Object | |
Trim a | |
Rescale a | |
Tidy a(n) prop_scr object | |
Test If Propensity Score Object | |
Power Prior | |
Calculate Power Prior Beta | |
Calculate Power Prior Normal | |
Calculate Power Prior Weibull | |
Robustify | |
Robustify Multivariate Normal Distributions | |
Robustify Normal Distributions | |
Posterior | |
Calculate Posterior Beta | |
Calculate Posterior Normal | |
Calculate Posterior Weibull | |
Simulation | |
Bootstrap Covariate Data | |
Calculate Conditional Drift and Treatment Effect for Binary Outcome Models | |
Inverse Logit Function | |
Simulate Participant Accrual Times | |
Simulate Event Times for Each Participant from a Weibull Proportional Hazards Regression Model | |
Simulate Event Times for Each Individual from a Piecewise Constant Hazard Model | |
Calculate Conditional Drift and Treatment Effect for Time-to-Event Outcome Models | |
Calculate the Analysis Time Based on a Target Number of Events and/or Target Follow-up Time | |
Visualisation | |
Propensity Score Cloud Plot | |
Density of the Propensity Score Object | |
Histogram of the Propensity Score Object | |
Love Plot of the Absolute Standardized Mean Differences | |
Plot Distribution | |
Create Sweet Spot Plots for Multiple Simulation Scenarios | |
Utility | |
Extract Means of Mixture Components | |
Extract Standard Deviations of Mixture Components | |
Calculate Average Distribution from Multiple Distributional Objects | |
Approximate Multivariate Normal Distribution as Beta at a Specific Time | |
The 'beastt' package. | |
Data | |
External Binary Control Data for Propensity Score Balancing | |
External Normal Control Data for Propensity Score Balancing | |
External Time-to-Event Control Data for Propensity Score Balancing | |
Internal Binary Data for Propensity Score Balancing | |
Internal Normal Data for Propensity Score Balancing | |
Internal Time-to-Event Control Data for Propensity Score Balancing | |
Binary Simulation Data | |
Time-to-Event Simulation Data | |