get.pseudo.mix: Compute the pseudo values of a mixture model from the...

In idr: Irreproducible Discovery Rate

Compute the pseudo values of a mixture model from the empirical CDF

Description

Compute the pseudo values of a mixture model from the empirical CDF

Usage

get.pseudo.mix(x, mu, sigma, rho, p)

Arguments

x	A vector of values of empirical CDF
mu	Mean of the reproducible component in the mixture model on the latent space
sigma	Standard deviation of the reproducible component in the mixture model on the latent space
rho	Correlation coefficient of the reproducible component in the mixture model on the latent space
p	Mixing proportion of the reproducible component in the mixture model on the latent space

Value

The values of a mixture model corresponding to the empirical CDF

Author(s)

Qunhua Li

References

Q. Li, J. B. Brown, H. Huang and P. J. Bickel. (2011) Measuring reproducibility of high-throughput experiments. Annals of Applied Statistics, Vol. 5, No. 3, 1752-1779.

Examples

x <- seq(0.1, 0.9, by=0.1)

mu <- 2.6
sigma <- 1.3
rho <- 0.8
p <- 0.7

pseudo.x <- get.pseudo.mix(x, mu, sigma, rho, p)

pseudo.x

idr documentation built on June 21, 2022, 9:05 a.m.