Paramater Data Assimilation using BayesianTools R Package

pda.bayesian.tools(
  settings,
  external.data = NULL,
  external.priors = NULL,
  external.formats = NULL,
  ensemble.id = NULL,
  params.id = NULL,
  param.names = NULL,
  prior.id = NULL,
  chain = NULL,
  iter = NULL,
  adapt = NULL,
  adj.min = NULL,
  ar.target = NULL,
  jvar = NULL,
  remote = FALSE,
  ...
)

Arguments

settings

= a pecan settings list

external.data

list of external inputs

external.priors

list of external priors

external.formats

bety formats used when function is used without a DB connection, e.g. remote

ensemble.id

ensemble IDs

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

remote

logical, if TRUE no DB connection is established

...

additional arguments

Value

settings

Author

Istem Fer