mcp package — mcpfit-class" />

Class mcpfit of models fitted with the mcp package

Source: R/mcpfit_methods.R

Models 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).

Details

See methods(class = "mcpfit") for an overview of available methods.

User-provided information (see mcp for more details):

Slots

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.