Mean: Mean method

In ISR: The Iterated Score Regression-Based Estimation Algorithm

Mean method

Description

Caculate the estimator on the Mean method

Usage

Mean(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

XMean	is the estimator on the Mean method
MSEMean	is the MSE value of the Mean method
MAEMean	is the MAE value of the Mean method
REMean	is the RE value of the Mean method
GCVMean	is the GCV value of the Mean method
timeMean	is the time cost of the Mean 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
 Mean(data=data,data0=data0,real=FALSE,example=FALSE)

ISR documentation built on April 22, 2022, 5:06 p.m.