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R/ideal_pcc.R
In HDDesign: Sample Size Calculation for High Dimensional Classification Study
ideal_pcc <-
function(mu0, m, p1=0.5)
{
kt=1/2*log((1-p1)/p1)
pnorm((m*mu0^2-kt)/(sqrt(m)*mu0))*p1+pnorm((m*mu0^2+kt)/(sqrt(m)*mu0))*(1-p1)
}
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HDDesign documentation built on May 2, 2019, 6:41 a.m.
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ideal_pcc <-
function(mu0, m, p1=0.5)
{
kt=1/2*log((1-p1)/p1)
pnorm((m*mu0^2-kt)/(sqrt(m)*mu0))*p1+pnorm((m*mu0^2+kt)/(sqrt(m)*mu0))*(1-p1)
}
Try the HDDesign package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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