NormalPredictorsGenerator: Class for generating correlated continuous normal predictors

In riley-ashton/SelectionSimulator:

Description

Class for generating correlated continuous normal predictors

Usage

NormalPredictorsGenerator

Format

R6Class object.

Value

Object of R6Class

Fields

covariance_matrix

Private. Covariance matrix used for generating predictors

num_observations

Private. The number of observations

num_predictors

Private. The number of predictors

predictor_names

Private. The names of the predictors

Methods

new

Constructor(num_observations : int, num_predictors : int, covariance_matrix : matrix<double>, predictor_names : vector<string>

get_num_observations

Returns num_observations

get_num_predictors

Returns num_predictors

simulate_predictors

Returns matrix of predictors

riley-ashton/SelectionSimulator documentation built on May 26, 2019, 4:40 p.m.