info {mmiCATs} | R Documentation |
Extract Model Information for Cluster-Adjusted Robust Inference
Description
This internal function extracts essential information from a model object and
associated data, specifically for use in cluster-adjusted robust inference
functions like cluster_im_glmRob
and cluster_im_lmRob
. It handles variable
extraction, clustering information, and filtering the dataset based on the
model's usage.
Usage
info(formula = NULL, cluster, dat, robmod)
Arguments
formula |
A formula used in the model fitting. |
cluster |
A formula or a character string indicating the clustering
variable in |
dat |
A data frame containing the data used in the model. |
robmod |
A robust model object from which to extract information. |
Value
A list containing the following elements:
- variables
Vector of all variable names used in the model.
- clust.name
Name of the clustering variable.
- dat
Filtered data set containing only the observations used in the model.
- clust
Vector representing the cluster index for each observation in
dat
.- ind.variables.full
Names of all independent variables including dropped ones, if any, in the model.
- ind.variables
Names of non-dropped independent variables used in the model.