Description Usage Arguments Objects from the Class See Also Examples

Random Forest output for model based recursive partitioning

1 2 | ```
## S4 method for signature 'mobforest.output'
show(object)
``` |

`object` |
object of class |

Objects can be created by
`mobforest.output`

.

`prediction.output`

,
`varimp.output`

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | ```
## 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)
## End(Not run)
``` |

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