remove_missing_variables: For a single observation, remove missing variables and...

In MichaelHoltonPrice/yada: Yet Another Demographic Analysis package

Description

For a single observation with response vector y0 and model specification mod_spec0, modify mod_spec0 to account for missing observations in y0, which are indicated with NA. In addition, create additional variables to support calculation of the negative log-likelihood for the observation. (a) mapping: a list of index mappings for the reduced data observation (see get_var_index_multivariate_mapping and get_var_index_multivariate_fast). (b) mapping0: the mapping for the unreduced problem. (c) ind: a vector that subsets the full parameter vector to account for the reduction. (d) keep: a boolean vector indicating which variables were kept in the reduction.

Usage

remove_missing_variables(y0, mod_spec0)

Arguments

y0	The unreduced response vector
mod_spec	The unreduced model specification

Value

The list with y, mod_spec, mapping, mapping0, ind, and keep

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