lidar

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

lidar function

A data frame with 221 observations on the following 2 variables.<dl>
 <dt><code>range</code></dt>
<dd>a numeric vector</dd> <dt><code>logratio</code></dt>
<dd>a numeric vector</dd> 
</dl>

Format

Light Detection and Ranging Data — lidar

A data frame with 221 observations on the following 2 variables.<dl>
 <dt><code>range</code></dt>
<dd>a numeric vector</dd>

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

 
</dl>

Light Detection and Ranging Data

lidar: Light Detection and Ranging Data

Description

Usage

Arguments

Format