Stratified_cfg {tidyhte}R Documentation

Configuration for a Stratification Estimator

Description

Stratified_cfg is a configuration class for stratifying a covariate and calculating statistics within each cell.

Super class

tidyhte::Model_cfg -> Stratified_cfg

Public fields

model_class

The class of the model, required for all classes which inherit from Model_cfg.

covariate

The name of the column in the dataset which corresponds to the covariate on which to stratify.

Methods

Public methods


Method new()

Create a new Stratified_cfg object with specified number of evaluation points.

Usage
Stratified_cfg$new(covariate)
Arguments
covariate

The name of the column in the dataset which corresponds to the covariate on which to stratify.

Returns

A new Stratified_cfg object.

Examples
Stratified_cfg$new(covariate = "test_covariate")

Method clone()

The objects of this class are cloneable with this method.

Usage
Stratified_cfg$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.

Examples


## ------------------------------------------------
## Method `Stratified_cfg$new`
## ------------------------------------------------

Stratified_cfg$new(covariate = "test_covariate")

[Package tidyhte version 1.0.2 Index]