pda.create.btprior.RdHelper function for creating log-priors compatible with BayesianTools package
pda.create.btprior(prior.sel)
| prior.sel | `data.frame` containing prior distributions of the selected parameters |
|---|
out Prior class object for BayesianTools package
`prior.sel` must contain the following columns: * `distn` -- String describing a distribution; e.g. `norm` for `dnorm`, `rnorm`, etc. * `parama`, `paramb` -- First and second parameters, respectively, of the corresponding distribution
Optionally, `prior.sel` may also contain the following columns: * `param_name` -- Parameter name, which will be carried through to the prior object and sampler * `lower`, `upper` -- Lower and upper bounds, respectively. These can be leveraged by the BayesianTools samplers. * `best` -- Best guess for a parameter estimate. BayesianTools can also use this, though I'm not sure how...