random_linear_forest: Fitting linear random forest

In Covid19Wastewater: Prepare, Analyze, and Visualize Covid-19 Wastewater Data

Fitting linear random forest

Description

This uses the linear tree model from party kit and bootstrapping to create linear random forests that work like a random forest but with the linear dynamics permuted with a linear method

Usage

random_linear_forest(
  data,
  num_tree,
  model_formula,
  num_features = NULL,
  na.action = na.roughfix,
  max_depth = 5,
  importance = FALSE,
  verbose = FALSE
)

Arguments

data	a dataframe containing the variables in the model
num_tree	numeric, the number of trees in the random forest.
model_formula	an object of class "formula": a symbolic description of the model to be fitted.
num_features	number of tree features in each tree. if left NULL rounded up square of the number of columns
na.action	passed to lmtree to handle missing data
max_depth	the max depth of each tree in the forest
importance	controls if the importance should be calculated and stored
verbose	If true it prints training progress

Value

random_linear_forest object trained using given data

Examples

data(Example_data, package = "Covid19Wastewater")
random_linear_forest(Example_data, 2, PMMoV ~ N1 + N2 | pcr_type)

Covid19Wastewater documentation built on Aug. 25, 2023, 1:07 a.m.