Paramater Data Assimilation using MCMC

Usage

pda.mcmc(
  settings,
  params.id = NULL,
  param.names = NULL,
  prior.id = NULL,
  chain = NULL,
  iter = NULL,
  adapt = NULL,
  adj.min = NULL,
  ar.target = NULL,
  jvar = NULL,
  n.knot = NULL
)

Arguments

settings: = a pecan settings list
params.id: id of pars
param.names: names of pars
prior.id: ids of priors
chain: how many chains
iter: how many iterations
adapt: adaptation intervals
adj.min: to be used in adjustment
ar.target: acceptance rate target
jvar: jump variance
n.knot: number of knots requested

Value

nothing. Diagnostic plots, MCMC samples, and posterior distributions are saved as files and db records.

Details

Brute-force, only to be used on simple models

Author

Mike Dietze

Ryan Kelly