Parameter Data Assimilation using MCMC with block sampling
Usage
pda.mcmc.bs(
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