"rmm function validates inputs correctly"
"rmm function computes binning correctly"
"rmm function calculates RMM and its confidence intervals"
"rmm function handles the pivot argument correctly"
"rmm function handles edge cases correctly"
"rmm function handles the seed argument correctly"
"rmm function handles the group_vars argument correctly"
"rmm function handles edge cases with seed and group_vars"
"rmm function handles missing values with seed and group_vars correctly"
"rmm function handles large datasets without performance issues"
"nonlinear_bins produces correct bin data"
"bootstrap data has the correct number of samples"
"bin statistics are calculated correctly"
"confidence intervals are correctly computed in final RMM"
"RMM final data is correctly sorted by bin_number"
"rm_bin_summary handles the seed argument correctly"
"rm_bin_summary handles extreme edge cases for Ps values"
"rm_bin_summary produces error with invalid n_samples"
"rm_bin_summary with missing group_vars argument"

rmm function handles large datasets without performance issues