prep_for_neg_log_lik_multivariate: Prepare for the negative log-likelihood calculations

In MichaelHoltonPrice/yada: Yet Another Demographic Analysis package

Description

Prepare for the negative log-likelihood calculations by creating indexing objects to speed up execution.

Usage

prep_for_neg_log_lik_multivariate(
  x,
  Y,
  mod_spec,
  remove_log_ord = FALSE,
  no_missing_var = TRUE
)

Arguments

x	The independent variable
Y	The matrix of responses
mod_spec	The model specification
no_missing_var	(Default: TRUE) Whether or not to require all variables to have no missing values.
remove_log_ord_cases	Whether or not to remove log_ord edge cases from the return list, calc_data. remove_log_ord_cases should be TRUE if calc_data is being used to calculate a likelihood function and should, typically, otherwise be FALSE (e.g., if log_ord is being used for posterior inference).

Value

Data needed for a speedy negative log-likelihood calculation (calc_data)

MichaelHoltonPrice/yada documentation built on Sept. 19, 2021, 11:27 p.m.