Design matrices for a beezdemand_hurdle fit — model.matrix.beezdemand

Hurdle currently has intercept-only Part I and Part II linear predictors, so X_binary and X_consumption are each a single column of ones with nobs(fit) rows. Returned for parity with model.matrix.beezdemand_tmb(). Future support for factor / covariate effects on hurdle components will enrich these matrices without changing the API.

Usage

# S3 method for class 'beezdemand_hurdle'
model.matrix(object, what = NULL, ...)

Arguments

object: A beezdemand_hurdle object.
what: NULL (default) returns the full named list. Otherwise one of "X_binary" or "X_consumption".
...: Unused.

Value

Named list of numeric matrices, or a single matrix when what is set.