run_MCMC_DA: run MCMC with data augmentation to fit parameters to data

In c97sr/learnidd: A collection of functions useful for the study of infectious disease dynamics

run MCMC with data augmentation to fit parameters to data

Description

run MCMC with data augmentation to fit parameters to data

Usage

run_MCMC_DA(fit_parnames, nbIteration, randomWalkSD, currentParameter, data)

Arguments

fit_parnames	vector of names of parameter(s) to be fitted
nbIteration	number of iterations for which to run MCMC
randomWalkSD	vector containing standard deviations of proposal distributions for each fitted parameter
currentParameter	named vector of parameter values at which to start fitting
data	data for fitting, where each row is a cluster

Value

list with the elements storedParameter: matrix of fitted parameter values for each iteration logLik: log likelihood for each iteration acceptance_rate_parameters: proportion of proposed values that were accepted, for each fitted parameter acceptance_rate_DA: proportion of proposed data augmentation values that were accepted

c97sr/learnidd documentation built on Jan. 12, 2025, 4:24 p.m.