RF_optimal_train: RF_optimal_train

In DCAN-Labs/RFRF: Functional Random Forest in R

RF_optimal_train

Description

this function trains the optimal random forest parameters with training folds

Usage

RF_optimal_train(
  data = training_dataset,
  formula = y ~ x,
  Optimal_RF_Parameters = NULL,
  model_type = "rfsrc"
)

Arguments

formula	formula describing the model fit
Optimal_RF_Parameters	returned from RF_test function
model_type	which type of rfsrc to use
training_dataset	the training data

Examples

number_of_training_participants <- 10
covariance_matrix <- diag(2)
outcome_column <- 1
means <- c(0,0)
training_dataset <- simulate_data(number_of_training_participants,covariance_matrix,outcome_column,means)
optimal_random_forest <- RF_optimal_train(data=training_dataset,formula=y~x,Optimal_RF_Parameters=NULL,model_type="rfsrc")

DCAN-Labs/RFRF documentation built on March 15, 2024, 2:33 p.m.