chaddlewick/spr: Simulation-based Parameter Recovery
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).
Getting started
Browse package contents
Package details |
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| Author | Sarah Chadwick |
| Maintainer | Sarah Chadwick <s.chadwick4@lancaster.ac.uk> |
| License | NA |
| Version | 0.2.2 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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