sym.rt: Symbolic Regression Trees

In RSDA: R to Symbolic Data Analysis

Symbolic Regression Trees

Description

Symbolic Regression Trees

Usage

sym.rt(
  formula,
  sym.data,
  method = c("cm", "crm"),
  minsplit = 20,
  maxdepth = 10
)

Arguments

formula	a formula, with a response but no interaction terms. If this a a data frame, that is taken as the model frame (see model.frame).
sym.data	a symbolic data table
method	cm crm
minsplit	the minimum number of observations that must exist in a node in order for a split to be attempted.
maxdepth	Set the maximum depth of any node of the final tree, with the root node counted as depth 0. Values greater than 30 rpart will give nonsense results on 32-bit machines.

References

Lima-Neto, E.A., De Carvalho, F.A.T., (2008). Centre and range method to fitting a linear regression model on symbolic interval data. Computational Statistics and Data Analysis52, 1500-1515

Lima-Neto, E.A., De Carvalho, F.A.T., (2010). Constrained linear regression models for symbolic interval-valued variables. Computational Statistics and Data Analysis 54, 333-347

Lima Neto, E.d.A., de Carvalho, F.d.A.T. Nonlinear regression applied to interval-valued data. Pattern Anal Applic 20, 809–824 (2017). https://doi.org/10.1007/s10044-016-0538-y

Rodriguez, O. (2018). Shrinkage linear regression for symbolic interval-valued variables.Journal MODULAD 2018, vol. Modulad 45, pp.19-38

RSDA documentation built on Nov. 10, 2023, 5:06 p.m.