ISR: Iterated score regression
In ISR: The Iterated Score Regression-Based Estimation Algorithm

ISR	R Documentation

Iterated score regression

Description

Caculate the estimator on the ISR method

Usage

ISR(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

`XISR`	is the estimator on the ISR method
`MSEISR`	is the MSE value of the ISR method
`MAEISR`	is the MAE value of the ISR method
`REISR`	is the RE value of the ISR method
`GCVISR`	is the GCV value of the ISR method
`timeISR`	is the time cost of the ISR 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
 ISR(data=data,data0=data0,real=FALSE,example=FALSE)

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