posterior_linpred-ubmsFit-method function

Posterior Distribution of the Linear Predictor

Posterior Distribution of the Linear Predictor

Extract posterior draws of the linear predictor for a ubmsFit

submodel, possibly transformed by the inverse-link function.

## S4 method for signature 'ubmsFit' posterior_linpred( object, transform = FALSE, submodel, newdata = NULL, draws = NULL, re.form = NULL, ... )

Arguments

  • object: A fitted model of class ubmsFit
  • transform: Should the linear predictor be transformed using the inverse link function?
  • submodel: The name of the submodel, as a character string, for which to calculate the linear predictor
  • newdata: Optional data frame of newdata to use when calculating the linear predictor. If not provided, the model matrix is used.
  • draws: An integer indicating the number of draws to return. The default and maximum number of draws is the size of the posterior sample.
  • re.form: If NULL, any estimated group-level parameters ("random effects") are included. If NA, they are ignored
  • ...: Currently ignored

Returns

A matrix of simulations from the posterior predictive distribution of the linear predictor. The dimensions are draws by number of linear predictor values (e.g., number of sites or number of observations).

  • Maintainer: Ken Kellner
  • License: GPL (>= 3)
  • Last published: 2024-10-01