simulate_hhh4u_covariate: Simulate from underreported model with one covariate

In jbracher/hhh4underreporting: Fitting endemic-epidemic models to underreported data

Description

Simulate from an endemic-epidemic model with a covariate entering into the endemic component. Requires specification of the initial value for $lambda$.

Usage

simulate_hhh4u_covariate(lambda1, alpha_nu, beta_nu, phi, kappa, psi, q = 1, z)

Arguments

lambda1	the initial mean
alpha_nu, beta_nu, phi, kappa, psi	the parameters of the latent model
q	the reporting probability
z	a covariate entering into the endemic parameter $nu$

Value

A named list with elements "X" and "Y" containing the unthinned and thinned simulated time series.

Examples

# define a covariate:
z <- sin(2*pi*1:200/20)
# define the model parameters:
lambda1 <- 10
alpha_nu <- 3
beta_nu <- 1
phi <- 0.5
kappa <- 0.2
psi <- 0.1
q <- 0.5
sim <- generate_ar_cov(lambda1 = lambda1,
                       alpha_nu = alpha_nu,
                       beta_nu = beta_nu,
                       phi = phi,
                       kappa = kappa,
                       psi = psi,
                       q = q,
                       z = z)

jbracher/hhh4underreporting documentation built on July 21, 2020, 2:08 p.m.