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In datasets whose data-generating distributions are non-negative with excess zero observations, it can be difficult to find general-purpose statistical tests for comparing sample means while controlling type-I error rates. This R package allows users to perform a modified bootstrap-based t-test that aims to better control type-I error rates in these particular datasets.
To download and use this package, run the following:
install.packages("devtools") # Unless you already have it
library(devtools)
devtools::install_github("WannabeSmith/rbtt")To obtain details on how to use the package, run:
help(rbtt)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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