find modified alpha
findModifiedAlpha(
rho,
n,
df,
alpha = 0.05,
errorAcc = 0.001,
gradDiff = ifelse(cores > 3, 0.5, 0.1),
cores = 0,
verbose = FALSE,
method = "t"
)correlation coefficient
number of observations
degrees of freedom if method == "t"
starting alpha from which to adjust
acceptable error for alphastar
gradient steps in algorithm
number of cores. Default is zero, or half of what's available
will probably remove this
either "t" or "norm"