sim_data: Simulate data

In haozhestat/rfinterval: Predictive Inference for Random Forests

Description

Simulate data for illustrate the performance of prediction intervals for random forests

Usage

sim_data(n = 500, p = 10, rho = 0.6, predictor_dist = "correlated",
  mean_function = "nonlinear-interaction",
  error_dist = "homoscedastic")

Arguments

n	Sample size
p	Number of features
rho	Correlation between predictors
predictor_dist	Distribution of predictor: "uncorrelated", and "correlated"
mean_function	Mean function: "linear", "nonlinear", and "nonlinear-interaction"
error_dist	Distribution of error: "homoscedastic", "heteroscedastic", and "heavy-tailed"

Value

a data.frame of simulated data

Examples

train_data <- sim_data(n = 500, p = 10)
test_data <- sim_data(n = 500, p = 10)

haozhestat/rfinterval documentation built on July 22, 2019, 3:32 p.m.