missing_covariates: Handle missing covariates

In RprobitB: Bayesian Probit Choice Modeling

Handle missing covariates

Description

This function checks for and replaces missing covariate entries in choice_data.

Usage

missing_covariates(
  choice_data,
  impute = "complete_cases",
  col_ignore = character()
)

Arguments

choice_data	A data.frame of choice data in wide format, i.e. each row represents one choice occasion.
impute	A character that specifies how to handle missing covariate entries in choice_data, one of: "complete_cases", removes all rows containing missing covariate entries (the default), "zero", replaces missing covariate entries by zero (only for numeric columns), "mean", imputes missing covariate entries by the mean (only for numeric columns).
col_ignore	A character vector of columns that are ignored (none per default).

Value

The input choice_data, in which missing covariates are addressed.

RprobitB documentation built on Nov. 10, 2022, 5:12 p.m.