View source: R/theoretical_power.R
practical_pars_norm | R Documentation |
Performs a binary search to find the parameter values that reach power rho at the smallest effect size. If no effect sizes are sufficient to reach power rho, returns the parameters for the largest effect size in input grid.
practical_pars_norm( effect_size_grid, epsilon, n, rho = 0.8, alpha = 0.05, d = 1, n_zeros = 0, M_start = min(12, floor(n/3)), alpha0_start = 0.2, M_max = n )
effect_size_grid |
Grid of effect sizes to search over |
epsilon |
The privacy parameter. |
n |
The number of observations (number of rows in the database). |
rho |
The desired power threshold |
alpha |
The significance level. Defaults to 0.05. |
d |
The number of dimensions (number of columns in the database). Defaults to 1. |
n_zeros |
The number of entries of the alternative distribution with mean zero. Defaults to 0. |
M_start |
Starting value of M |
alpha0_start |
Starting value of alpha0 |
M_max |
The maximum M to search over. |
The output will be a list with the achievable power, the corresponding two parameter values, and the minimum effect size
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