nonmolar

<p>The non-molar tooth loss dataset is from Teeth, which is contained in R Package MST. Teeth consists of 4958 patients with 40196 non-molar teeth. For each non-molar tooth, there are 52 covariates.</p>

datasets

Implements recursive partitioning based, nonparametric methods for high
dimensional regression and classification. Depending on the aims of data analysis as well as the
structures of the data, macs provides three major functions: multivariate adaptive regression
models, classification trees and survival trees. A list of references for this package is, Zhang, H. (1997) <doi:10.1080/10618600.1997.10474728>, Zhang, H. et al. (1999) <ISBN:978-1-4757-3027-2>, Zhang, H. et al. (2014) <doi:10.1002/gepi.21843>.

Qi Yu

macs

Recursive Partitioning Based Multivariate Adaptive Regression
Models, Classification Trees, Survival Trees

nonmolar function

<p>A data.frame containing 40196 observations from 4958 patients.</p>

nonmolar: Non-molar tooth loss dataset.

Description

Usage

Arguments

Format

References