LogicReg (version 1.6.2)

# print.logregtree: Prints Logic Regression Formula

## Description

Prints formulas for objects fitted by `logreg`.

## Usage

```# S3 method for logregtree
print(x, nms, notnms, pstyle, ...)```

## Arguments

x

object of class `logregtree`, typically a part of an object of class `logreg`, which is the result of the function `logreg`, or a matrix with five columns (see `logregtree`).

nms

names of variables. If `nms` is provided variable names will be printed, otherwise indices will be used.

notnms

names of complements of the variables. If `notnms` is not provided ``not'' will be added before the variable names.

pstyle

parenthesis style. If `pstyle = 1` (the default) rules are more compact than if `pstyle = 2`.

...

other options are ignored

## Value

A text representation of the tree will be printed.

## References

Ruczinski I, Kooperberg C, LeBlanc ML (2003). Logic Regression, Journal of Computational and Graphical Statistics, 12, 475-511.

Ruczinski I, Kooperberg C, LeBlanc ML (2002). Logic Regression - methods and software. Proceedings of the MSRI workshop on Nonlinear Estimation and Classification (Eds: D. Denison, M. Hansen, C. Holmes, B. Mallick, B. Yu), Springer: New York, 333-344.

`logreg`, `logregtree`, `print.logreg`, `print.logregmodel`, `logreg.testdat`

## Examples

Run this code
``````# NOT RUN {
data(logreg.savefit1)
#
# myanneal <- logreg.anneal.control(start = -1, end = -4, iter = 25000, update = 1000)
# logreg.savefit1 <- logreg(resp = logreg.testdat[,1], bin=logreg.testdat[, 2:21],
#                type = 2, select = 1, ntrees = 2, anneal.control = myanneal)
print(logreg.savefit1\$model\$trees[[1]])
# }
``````

Run the code above in your browser using DataLab