Add Log-Likelihood to an mcpfit Object.

Add Log-Likelihood to an mcpfit Object.

Usage

add_loglik(
  x,
  varying = TRUE,
  arma = TRUE,
  ndraws = NULL,
  nsamples = lifecycle::deprecated()
)

Arguments

x

An mcpfit object.

varying

One of:

• TRUE All varying effects (fit$pars$varying).

• FALSE No varying effects (c()).

• "cp" or "predictor": All varying effects belonging to that part of the model.

• Character vector: Only include specified varying parameters - see fit$pars$varying.

arma

Whether to include AR and MA effects.

• TRUE Compute the GARMA residual recurrence. Requires the response variable in newdata.

• FALSE Disregard AR and MA effects. For family = gaussian(), predict() uses only sigma for residuals.

ndraws

Integer or NULL. Number of posterior draws used for the log-likelihood or information criterion. NULL uses all draws.

nsamples

Deprecated. Use ndraws instead.

Value

An mcpfit object with fit$loglik filled as an (Nchains * Ndraws) by N-observed-responses data matrix with chain number as rownames. Rows with missing responses are excluded from the likelihood columns.

See also

loo.mcpfit waic.mcpfit

Examples

# \donttest{
demo_fit = add_loglik(demo_fit)
# }