Realdata_Finalmodel {GDILM.SIR}

This function is used to estimate model parameters

Description

This function is used to estimate model parameters

Usage

Realdata_Finalmodel(
  ITER,
  zz,
  lambda0,
  sigma0,
  Di,
  D,
  n,
  time,
  tau,
  lambda,
  alpha0,
  q1,
  q2,
  cov1,
  cov2,
  phi,
  delta0,
  Nlabel,
  npar,
  I
)

Arguments

ITER

Number of iterations

zz

Number of Regions

lambda0

Spatial dependence

sigma0

precision

Di

Euclidean distance between susceptible individual and infectious individual

D

Neighborhood structure

n

total number of individuals

time

time

tau

tau

lambda

lambda ###

alpha0

intercept

q1

Number of variables corresponding to individual level data

q2

Number of variables corresponding to area level data

cov1

Individual level covariates

cov2

Area level covariates

phi

Spatial random effects

delta0

Spatial parameter

Nlabel

Label for each sample from the area

npar

number of parameters

I

Identity matrix

Value

Numerical values for estimates

Examples

Realdata_Finalmodel(2,4,0.2,0.5,
matrix(runif(400,min = 4,max = 20),nrow=20, byrow = TRUE),
matrix(c(0,-1,0,-1,-1,0,-1,-1,0,-1,0,-1,-1,-1,-1,0),nrow=4,byrow=TRUE),20,10,
sample(c(0,1),replace = TRUE, size = 20),rep(3,20),0.4,6,5,
matrix(runif(120, 0, 1),nrow=20,byrow=TRUE),
matrix(runif(20, 0, 1),nrow=4,byrow=TRUE),runif(4,min = 0, max = 1),2,
rep(1:4,each=5),15,diag(4))