This package performs 4 main functions: 1. Create a user-specified dataframe of observed covariates (a 'design dataframe' using the function designdf). 2. Generate effects based on a defined set of observed covariates (an 'effect' dataframe using the function effectsdf) 3. Create an outcome variable based on the user-specified observed covariates and effects (using the function simdf). 4. Fit multiple analytic models and retain model summary information (using the function simmodelfits).
|Maintainer||Sarah Chadwick <email@example.com>|
|Package repository||View on GitHub|
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