RRShieldsCutler/splinectomeR: Test for significance in longitudinal data with one or two populations

This package contains several statistical analysis tools developed to aid in analyzing longitudinal data that may be noisy, missing datapoints, unbalanced, etc. As the name implies, the functions use smoothing splines to make comparisons to a null hypothesis, usually by permuting the relevant features to generate a random distribution against which to test the true measured values (your data). With these tools, you can compare between groups overall, between groups across a continuous variable, or for a non-zero change in a single population. For example, if you were testing the level of cortisol in patients given a drug or placebo, this package would allow you to test whether there is an overall significant difference between the groups' cortisol response, whether there are differences between the groups at some time intervals but not others, and whether there is a non-zero change in the response of the drug group over time.

install.packages("remotes")
remotes::install_github("RRShieldsCutler/splinectomeR")