triceps

The data are derived from an anthropometric study of 892 females under 50 years in three Gambian villages in West Africa.

datasets

Estimation and inference for multiple kink quantile regression. A bootstrap restarting iterative segmented quantile algorithm is proposed to estimate the multiple kink quantile regression model conditional on a given number of change points. The number of kinks is also allowed to be unknown. In such case, the backward elimination algorithm and the bootstrap restarting iterative segmented quantile algorithm are combined to select the number of change points based on a quantile BIC. A score-type based test statistic is also developed for testing the existence of kink effect. The package is based on the paper, "Wei Zhong, Chuang Wan and Wenyang Zhang (2020). Estimation and inference for multi-kink quantile regression, submitted".

Chuang Wan

MultiKink

Estimation and Inference for Multi-Kink Quantile Regression

Wei Zhong

triceps function

A data frame with 892 observations on the following 3 variables.<dl>
 <dt><code>age</code></dt>
<dd>Age of respondents.</dd> <dt><code>lntriceps</code></dt>
<dd>Log of the triceps skinfold thickness.</dd> <dt><code>triceps</code></dt>
<dd>Triceps skinfold thichness.</dd> 
</dl>

Format

Triceps skinfold thichness dataset — triceps

A data frame with 892 observations on the following 3 variables.<dl>
 <dt><code>age</code></dt>
<dd>Age of respondents.</dd>

 <dt><code>lntriceps</code></dt>
<dd>Log of the triceps skinfold thickness.</dd>

 <dt><code>triceps</code></dt>
<dd>Triceps skinfold thichness.</dd>

 
</dl>

triceps: Triceps skinfold thichness dataset

Description

Usage

Arguments

Format

References

Examples