fit.jagsMod: fit.jagsMod

In AIMS/NEC-estimation: A Bayesian No Effect Concentration (NEC) package. R package version 1. doi:10.5281/ZENODO.3966864

Description

Fits a Bayesian model using jags and R2jags

Usage

fit.jagsMod(
  mod.dat,
  init.fun,
  params,
  burnin,
  n.iter,
  init.value.warning,
  n.tries
)

Arguments

mod.dat	the model data to use for the model fit
init.fun	the init function to use for the model fit
params	a vector of names indicating the parameters to trace during the jags fit.
burnin	the number of iterations to use as burnin.
n.iter	the number of iterations to run following burnin for the initial jags fit. Defaults to 500 + burnin,
init.value.warning	indicates if a warning should be given if the init.fun generated fails.
n.tries	the number of tries to attempt to fit the model and attain good chain mixing. See details below.

Value

The fitted jags model output

AIMS/NEC-estimation documentation built on Dec. 7, 2020, 10:44 a.m.