Purify provides a robust framework for resampling data with other statistics for potential dependency and / or uneven group sizes. The methods of resampling, cross-validation, and forecasting confidence intervals purify the data resulting in improved conclusions under a variety of scenarios. The functions are robust and flexible permitting direct use or seamless integration into the custom analyses. See example uses in Tetui et al. (2022) and Alexander, K. L., Hall, K., & Chen, Y. M. (2024).
Installation
You can install the development version of purify from GitHub with:
# install.packages("devtools")
devtools::install_github("jrvanderdoes/purify")