idr (version 1.3)

get.pseudo.mix: 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

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

# NOT RUN {
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
# }