pumadyn_isample_x

pumadyn_isample_y

pumadyn_osample_x

pumadyn_osample_y

<p>This is a dataset synthetically generated from a realistic simulation of the dynamics of a Unimation Puma 560 robot arm.</p>

datasets

pumadyn

Variable and interaction selection are essential to classification in high-dimensional setting. In this package, we provide the implementation of SODA procedure, which is a forward-backward algorithm that selects both main and interaction effects under logistic regression and quadratic discriminant analysis. We also provide an extension, S-SODA, for dealing with the variable selection problem for semi-parametric models with continuous responses.

Yang Li

sodavis

SODA: Main and Interaction Effects Selection for Logistic
Regression, Quadratic Discriminant and General Index Models

pumadyn function

<p>Response variable vector and design matrix on 4499 in-sample and 3693 out-sample observations for 32 predictor variables.</p>

Format

Pumadyn dataset — pumadyn

Pumadyn dataset

pumadyn: Pumadyn dataset

Description

Usage

Arguments

Format

References