dist_u

internal

Estimates the density of a variable in a measurement error setup, potentially with an excess of zero values. For more details see Sarkar (2022) <doi:10.1080/01621459.2020.1782220>.

Mainak Manna

BayesDecon

Density Deconvolution Using Bayesian Semiparametric Methods

Blake Moya

Abhra Sarkar

The University of Texas at Austin 

dist_u function

<dl><dt>obj</dt>
<dd>A <code>bdeconv_result</code> object.</dd>
<dt>vals</dt>
<dd>A numeric vector (or matrix) on which to evaluate the error
density.</dd></dl>

Arguments

Error Distribution Evaluation — dist_u

<dl>

<dt>obj</dt>
<dd>A <code>bdeconv_result</code> object.</dd>


<dt>vals</dt>
<dd>A numeric vector (or matrix) on which to evaluate the error
density.</dd>

</dl>

Error Distribution Evaluation

dist_u: Error Distribution Evaluation

Description

Usage

Value

Arguments