tree2glm: tree to GLM

In GPLTR: Generalized Partially Linear Tree-Based Regression Model

tree to GLM

Description

fit the PLTR model for a given tree. The tree is coerced into dummy covariates.

Usage

tree2glm(xtree, xdata, Y.name, X.names, family = "binomial")

Arguments

xtree	a tree inherits from the rpart method
xdata	a data frame containing the variables in the model
Y.name	the name of the dependent variable
X.names	the names of independent variables to consider in the linear part of the glm
family	the glm family considered depending on the type of the dependent variable.

Value

the pltr fitted model (fit)

Author(s)

Cyprien Mbogning and Wilson Toussile

Examples

## Not run: 
##load the data set

data(data_pltr)

## set the parameters

args.rpart <- list(minbucket = 40, cp = 0)
family <- "binomial"
Y.name <- "Y"
X.names <- "G1"
G.names <- paste("G", 2:15, sep="")

## build a maximal tree

fit_pltr <- pltr.glm(data_pltr, Y.name, X.names, G.names, args.rpart = args.rpart,
                     family = family,iterMax = 5, iterMin = 3)
                     
## Coerce a tree into a glm model using the confonding factor                     

fit_glm <- tree2glm(fit_pltr$tree, data_pltr, Y.name, X.names,
                    family = family)
                    
summary(fit_glm)

## End(Not run)      

GPLTR documentation built on Aug. 27, 2023, 1:06 a.m.