R: Compute the pseudo values of a mixture model from the...

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 1.2 Index]