rprop_x: Generates PD-SIR process conditionally on the observed data

In rmorsomme/PDSIR: Data-augmentation Marko chain Monte Carlo for Fitting the Stochastic SIR Model to Incidence Counts

Generates PD-SIR process conditionally on the observed data

Description

Generates PD-SIR process conditionally on the observed data

Usage

rprop_x(
  theta,
  Y,
  gener = FALSE,
  b = 1,
  iota_dist,
  approx = "ldp",
  x = NULL,
  rho = 1
)

Arguments

theta	current values of the parameters for the SIR
Y	observed data
gener	generalized
b	parameter of generalized
iota_dist	distribution of infection periods
approx	poisson approximation
x	current configuration of the latent data
rho	proportion

Value

latent data for the SIR

rmorsomme/PDSIR documentation built on April 27, 2023, 2:56 p.m.