GDILM.SIR (version 0.1.0)

Sim_Estpar: Calculating the estimated values for the parameters using log-likelihood function

Description

Calculating the estimated values for the parameters using log-likelihood function

Usage

Sim_Estpar(
  Nlabel,
  phi,
  Di,
  alpha1,
  delta,
  lambda1,
  sigma1,
  beta1,
  beta2,
  zz,
  time,
  n,
  tau,
  lambda,
  I,
  D,
  cov1,
  cov2
)

Value

a list of the solutions for the estimations of the parameters

Arguments

Nlabel

Label for each sample from the area

phi

Spatial random effects

Di

Euclidean distance between susceptible individual and infectious individual

alpha1

intercept

delta

Spatial parameter

lambda1

Spatial dependence

sigma1

precision of spatial random effects

beta1

the parameter corresponding to the covariate associated with susceptible individual

beta2

the parameter corresponding to the covariate associated with area

zz

Number of areas

time

Time

n

Total number of individuals

tau

the set of infectious individuals at time t in the zth area

lambda

a vector containing the length of infectious period

I

identity matrix

D

Neighborhood structure

cov1

Individual level covariates

cov2

Area level covariates

Examples

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