c_x vector generated as described in main paper.

internal

Tools for estimation and inference of conditional densities, derivatives and functions. This is the companion software for Cattaneo, Chandak, Jansson and Ma (2024) <doi:10.3150/23-BEJ1711>.

Rajita Chandak

lpcde

Boundary Adaptive Local Polynomial Conditional Density Estimator

Michael Jansson

Xinwei Ma

c_x function

<dl><dt>x_data</dt>
<dd>Data of covariates.</dd>
<dt>eval_pt</dt>
<dd>Evaluation point.</dd>
<dt>m</dt>
<dd>Order of polynomial.</dd>
<dt>q</dt>
<dd>Maximum degree for x.</dd>
<dt>h</dt>
<dd>Bandwidth.</dd>
<dt>kernel_type</dt>
<dd>Type of kernel function.</dd></dl>

Arguments

c_x vector (Internal Function) — c_x

<dl>

<dt>x_data</dt>
<dd>Data of covariates.</dd>


<dt>eval_pt</dt>
<dd>Evaluation point.</dd>


<dt>m</dt>
<dd>Order of polynomial.</dd>


<dt>q</dt>
<dd>Maximum degree for x.</dd>


<dt>h</dt>
<dd>Bandwidth.</dd>


<dt>kernel_type</dt>
<dd>Type of kernel function.</dd>

</dl>

c_x: c_x vector (Internal Function)

Description

Usage

Arguments