gen_sample_data

This function used for generate some sample data for experiment

A novel bias-bound approach for non-parametric inference is introduced,
focusing on both density and conditional expectation estimation.
It constructs valid confidence intervals that account for the presence of
a non-negligible bias and thus make it possible to perform inference with
optimal mean squared error minimizing bandwidths.
This package is based on Schennach (2020) <doi:10.1093/restud/rdz065>.

Xinyu DAI

rbbnp

A Bias Bound Approach to Non-Parametric Inference

Susanne M Schennach

gen_sample_data function

<dl><dt>size</dt>
<dd>control the sample size.</dd>
<dt>dgp</dt>
<dd>data generating process, have options "normal", "chisq", "mixed", "poly", "2_fold_uniform".</dd>
<dt>seed</dt>
<dd>random seed number.</dd></dl>

Arguments

Generate Sample Data — gen_sample_data

<dl>

<dt>size</dt>
<dd>control the sample size.</dd>


<dt>dgp</dt>
<dd>data generating process, have options "normal", "chisq", "mixed", "poly", "2_fold_uniform".</dd>


<dt>seed</dt>
<dd>random seed number.</dd>

</dl>

gen_sample_data: Generate Sample Data

Description

Usage

Value

Arguments