mcpfit-class | R Documentation |

`mcpfit`

of models fitted with the mcp packageModels fitted with the `mcp`

function are represented as
an `mcpfit`

object which contains the user input (model, data, family),
derived model characteristics (prior, parameter names, and jags code), and
the fit (prior and/or posterior mcmc samples).

See `methods(class = "mcpfit")`

for an overview of available methods.

User-provided information (see `mcp`

for more details):

`model`

A list of formulas, making up the model. Provided by user. See

`mcp`

for more details.`data`

A data frame. Provided by user. See

`mcp`

for more details.`family`

An

`mcpfamily`

object. Provided by user. See`mcp`

for more details.`prior`

A named list. Provided by user. See

`mcp`

for more details.`mcmc_post`

An

`mcmc.list`

object with posterior samples.`mcmc_prior`

An

`mcmc.list`

object with prior samples.`mcmc_loglik`

An

`mcmc.list`

object with samples of log-likelihood.`pars`

A list of character vectors of model parameter names.

`jags_code`

A string with jags code. Use

`cat(fit$jags_code)`

to show it.`simulate`

A method to simulate and predict data.

`.other`

Information that is used internally by mcp.

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