tree2glm {GPLTR} | R Documentation |
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)
[Package GPLTR version 1.5 Index]