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Welcome to the bifurcatoR wiki! Here you will find the expanded methods section for the functions utilized in the bifurcatoR Shiny app (insert server link).

Function

Calc Power

Deprecated.

est_pow

This function is the workhorse for Module II of the Shiny app, which aims to estimate the power and false positive rate of detecting significant evidence against unimodality in a sample of size n. The inputs are, in order: n,alpha,nsim,dist,params,tests.

• n: the total sample size to sampled from the parent distribution
• alpha: the desired significance level/ type-I error rate. Note that any multiple testing corrections must be performed outside of this function
• nsim: the number of simulated samples of size n to be drawn. The higher this number, the more accurate the the power calculation, but the longer run time.
• dist: the distribution the simulated data is to be sample from. Currently the options are Gaussian and beta (soon Weibull). ** If dist = beta, the expected parameter list should contain the two shape parameters ((U+1D6C2))