nutrition

The infant nutrition dataset comprises data collected in a study on the nutrition of infants and preschool children in the north central region of the United States of America.

Threshold regression models are also called two-phase regression, broken-stick regression, split-point regression, structural change models, and regression kink models, with and without interaction terms. Methods for both continuous and discontinuous threshold models are included, but the support for the former is much greater. This package is described in Fong, Huang, Gilbert and Permar (2017) <DOI:10.1186/s12859-017-1863-x> and the package vignette.

Youyi Fong

chngpt

Estimation and Hypothesis Testing for Threshold Regression

Qianqian Chen

Shuangcheng Hua

Hyunju Son

Adam Elder

Tao Yang

Zonglin He

Simone Giannerini

nutrition function

A data frame with 72 observations on the following 2 variables.<dl>
 <dt><code>woh</code></dt>
<dd>weight/height ratio</dd> <dt><code>age</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Infant Nutrition Data — nutrition

A data frame with 72 observations on the following 2 variables.<dl>
 <dt><code>woh</code></dt>
<dd>weight/height ratio</dd>

 <dt><code>age</code></dt>
<dd>a numeric vector</dd>

 
</dl>

nutrition: Infant Nutrition Data

Description

Usage

Arguments

Format