MMLPCA {ISR}

Modified maximum likelihood principal component analysis

Description

Caculate the estimator on the ISR method

Usage

MMLPCA(data = 0, data0, real = TRUE, example = FALSE)

Arguments

data

is the orignal data set

data0

is the missing data set

real

is to judge whether the data set is a real missing data set

example

is to judge whether the data set is a simulation example

Value

XMMLPCA

is the estimator on the MMLPCA method

MSEMMLPCA

is the MSE value of the MMLPCA method

MAEMMLPCA

is the MAE value of the MMLPCA method

REMMLPCA

is the RE value of the MMLPCA method

GCVMMLPCA

is the GCV value of the MMLPCA method

timeMMLPCA

is the time cost of the MMLPCA method

Examples

 library(MASS)   
 n=100;p=10;per=0.1
 X0=data=matrix(mvrnorm(n*p,0,1),n,p)
 m=round(per*n*p,digits=0)
 mr=sample(1:(n*p),m,replace=FALSE)
 X0[mr]=NA;data0=X0
 MMLPCA(data=data,data0=data0,real=FALSE,example=FALSE)