dens_x

Estimated density function for the true variable(s)

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 

dens_x function

<dl><dt>obj</dt>
<dd>A <code>bdeconv_result</code> object.</dd>
<dt>vals</dt>
<dd>A numeric vector (for univariate) or matrix (for multivariate) on which to evaluate the density.</dd>
<dt>expand</dt>
<dd>Used only for <code>mv_res</code> objects. A logical value indicating
whether or not to expand the matrix of values.</dd></dl>

Arguments

Estimated density function for the true variable(s) — dens_x

<dl>

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


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


<dt>expand</dt>
<dd>Used only for <code>mv_res</code> objects. A logical value indicating
whether or not to expand the matrix of values.</dd>

</dl>

dens_x: Estimated density function for the true variable(s)

Description

Usage

Value

Arguments