check_covar_validity: Validate prepared covariate data

In njhenry/covidemr: Tools for Mapping COVID Excess Mortality

Description

Given prepared covariate data, validate that the correct fields are present and that no data is missing

Usage

check_covar_validity(
  prepped_covar,
  covar_name,
  covar_indices,
  model_years,
  location_table
)

Arguments

prepped_covar	data.table containing the prepped covariate
covar_name	Short name for the covariate. This will be used to send the covariate to a particular prep function.
covar_indices	Vector of identifiers that should be used to merge onto the modeling dataset. The prepared covariate dataset should only include identifier columns and the covariate value, specified by the covariate name
model_years	Vector of years to consider for modeling
location_table	Location code merge table for Italy

Value

NULL (fails if there are any issues in prepared covariate data)

njhenry/covidemr documentation built on Feb. 2, 2022, 2:31 a.m.