imp4p (version 1.2)

prob.mcar.tab: 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).

See Also

estim.mix

Examples

# NOT RUN {
#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);
# }