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