get.pseudo.mix {idr} | R Documentation |
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
[Package idr version 1.3 Index]