Estimation: Estimating parameters along with corresponding variances based on the proposed model.

Description

Estimating parameters along with corresponding variances based on the proposed model.

Usage

Estimation(
  ITER,
  MHiteration,
  eps,
  d,
  nSample,
  mm,
  time,
  MuxStar0,
  MuxInd0,
  SigmaxStar0,
  SigmaxInd0,
  Sigmav0,
  Sigmaw0,
  lambda0,
  sigma0,
  delta0,
  alpha0,
  beta10,
  beta20,
  beta30,
  beta40,
  InfPeriod,
  g
)

Value

the result of the function

Arguments

ITER: The number of simulation runs
MHiteration: The number of iterations in Metropolis–Hastings algorithm
eps: Stopping value for MCECM algorithm
d: distance between cells
nSample: number of sample in each cell
mm: Number of areas.
time: Maximum time.
MuxStar0: Mean of unobserved areal level covariates.
MuxInd0: Mean of unobserved individual level covariates.
SigmaxStar0: Variance of unobserved areal level covariates.
SigmaxInd0: Variance of unobserved individual level covariates.
Sigmav0: Variance of areal level measurement error variable.
Sigmaw0: Variance of individual level measurement error variable.
lambda0: Spatial dependency parameter.
sigma0: Over dispersion parameter.
delta0: The spatial parameter.
alpha0: Initial value for intercept.
beta10: Initial value for coefficient of observed individual level covariates.
beta20: Initial value for coefficient of observed areal level covariates.
beta30: Initial value for coefficient of unobserved individual level covariates.
beta40: Initial value for coefficient of unobserved areal level covariates.
InfPeriod: The infectious period length.
g: grid dimension

Examples

Run this code

Estimation(1,5,0.05,2,4,4,20,0,0,1,1,0.3,0.3,0.5,0.5,2.5,0,1,1,1,
1,3,2)

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