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macs (version 1.0)

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

Description

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) , Zhang, H. et al. (1999) , Zhang, H. et al. (2014) .

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Version

Install

install.packages('macs')

Monthly Downloads

4

Version

1.0

License

GPL-2

Maintainer

Qi Yu

Last Published

October 9th, 2019

Functions in macs (1.0)

nonmolar

Non-molar tooth loss dataset.
stree

Recursive partitioning based survival tree
tarv

Recursive partitioning based classification trees for risk profile and diagnosis
wages

Wages of male dropouts from high school.
yeast

Yeast sequences which were classified into 10 classes
forecast.ctree

Predict method for RTREE Model Fits
other functions

other functions
plot.ctree

Plot function for a ctree object
forecast.masal

Predict method for MASAL Model Fits
plot.stree

Plot function for a stree object
rtree

Tree-based analysis of rare variants to analyze genomic data.
forecast.stree

Predict method for STREE Model Fits
kmgraph

Kaplan-Meier curves plot
masal

Recursive partitioning based masal