mspe_LOGISTIC_HealthData_SUMCA {SumcaVer1}

MSPE estimation in mixed logistic model (Health Insurance data) using SUMCA method.Calculate the mspe of mixed logistic model (Health Insurance data) using SUMCA method.

Description

MSPE estimation in mixed logistic model (Health Insurance data) using SUMCA method.Calculate the mspe of mixed logistic model (Health Insurance data) using SUMCA method.

Usage

mspe_LOGISTIC_HealthData_SUMCA(
  m,
  p,
  n.new,
  y.new,
  Xi,
  cum.n.new,
  yi.tem,
  X.tem,
  county.tem,
  K
)

Arguments

m

number of domains

p

number of complete model parameters

n.new

sample size of each domain

y.new

response variable

Xi

covariates

cum.n.new

Cummulative sum of n

yi.tem

response variable for each individual

X.tem

Individual level covariates

county.tem

county

K

number of Monte Carlo for the SUMCA method

Value

Par: return estimation of model parameters

Mu.hat: return prediction of domain parameters

mspe.Sumca: return mspe of small area (domain) predictor using the SUMCA method

sq.mspe.Sumca: return square root of mspe of small area predictor for non-zero domains using the SUMCA method

Examples

mspe_LOGISTIC_HealthData_SUMCA(20,3,c(2,1,2,2,1,2,3,1,1,3,1,3,2,3,
3,1,2,1,3,3),c(3,4,2,2,3,3,4,3,4,1,4,1,3,5,4,7,1,3,1,2),
matrix(runif(60,0,1),nrow=20,byrow=TRUE),c(2,3,5,7,8,10,13,14,15
,18,19,22,24,27,30,31,33,34,37,40),sample(c(0,1),replace=TRUE,40),
matrix(c(runif(40,7,10),runif(40,14,22),runif(40,2,4)),nrow=40,byrow=FALSE),
rep(1:20,each=2),10)