R: Estimation of a matrix of probabilities that missing values...

prob.mcar.tab {imp4p} | R Documentation

## Estimation of a matrix of probabilities that missing values are MCAR.

### Description

This function returns a matrix of probabilities that each missing value is MCAR from specified confidence intervals.

### Usage

    prob.mcar.tab(tab.u,res)

### Arguments

`tab.u` | A numeric matrix of upper bounds for missing values.
`res` | An output list resulting from the function `estim.mix`.

### Value

A numeric matrix of estimated probabilities to be MCAR for missing values assuming upper bounds for them (`tab.u`).

### Author(s)

Quentin Giai Gianetto <quentin2g@yahoo.fr>

### See Also

`estim.mix`

### Examples

    #Simulating data
    res.sim=sim.data(nb.pept=2000,nb.miss=600,para=5);

    #Imputation of missing values with a MCAR-devoted algorithm: here the slsa algorithm
    dat.slsa=impute.slsa(tab=res.sim$dat.obs,conditions=res.sim$condition,repbio=res.sim$repbio);

    #Estimation of the mixture model
    res=estim.mix(tab=res.sim$dat.obs, tab.imp=dat.slsa, conditions=res.sim$condition);

    #Computing probabilities to be MCAR
    born=estim.bound(tab=res.sim$dat.obs,conditions=res.sim$condition);
    proba=prob.mcar.tab(born$tab.upper,res);

    #Histogram of probabilities to be MCAR associated to generated MCAR values
    hist(proba[res.sim$list.MCAR[[1]],1],

    freq=FALSE,main="Estimated probabilities to be MCAR for known MCAR values",xlab="",col=2);

[Package imp4p version 1.2 Index]