mobforest.output-class

0th

Percentile

Class "mobforest.output" of mobforest model

Random Forest output for model based recursive partitioning

Keywords
classes
Usage
# S4 method for mobforest.output
show(object)
Arguments
object

object of class '>mobforest.output

Objects from the Class

Objects can be created by mobforest.output.

See Also

'>prediction.output, '>varimp.output

Aliases
  • mobforest.output-class
  • get.pred.values,
  • mobfores.output,
  • logical,
  • logical-method
  • mobforest.output-method
  • predictive.acc,
  • mobforest.output,
  • mobforest.output-method,
  • show,mobforest.output-method
Examples
# NOT RUN {
# }
# NOT RUN {
library(mlbench)
set.seed(1111)
# Random Forest analysis of model based recursive partitioning load data
data("BostonHousing", package = "mlbench")
BostonHousing <- BostonHousing[1:90, c("rad", "tax", "crim", "medv", "lstat")]

# Recursive partitioning based on linear regression model medv ~ lstat with 3
# trees.  1 core/processor used. 
rfout <- mobforest.analysis(as.formula(medv ~ lstat), c("rad", "tax", "crim"),
    mobforest_controls = mobforest.control(ntree = 3, mtry = 2, replace = TRUE,
        alpha = 0.05, bonferroni = TRUE, minsplit = 25), data = BostonHousing,
    processors = 1, model = linearModel, seed = 1111)
# }
# NOT RUN {
# }
Documentation reproduced from package mobForest, version 1.3.1, License: GPL (>= 2)

Community examples

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