SumcaVer1 (version 0.1.0)

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

Description

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

Usage

mspe_LOGISTIC_HealthData_BOOT(
  m,
  p,
  n.new,
  y.new,
  cum.n.new,
  Xi,
  yi.tem,
  X.tem,
  county.tem,
  B
)

Value

Par: return estimation of model parameters

Mu.hat: return prediction of domain parameters

mspe.boot: return mspe of small area (domain) predictor using the bootstrap method

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

Arguments

m

number of domains

p

number of complete model parameters

n.new

sample size of each domain

y.new

response variable

cum.n.new

Cummulaticve sum of n

Xi

covariates

yi.tem

response variable for each individual

X.tem

Individual level covariates

county.tem

county

B

number of bootstrap iterations

Examples

mspe_LOGISTIC_HealthData_BOOT(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),c(2,3,5,7,8,10,13,14,15
,18,19,22,24,27,30,31,33,34,37,40),
matrix(runif(60,0,1),nrow=20,byrow=TRUE),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)