prop.sig.thetas.fn

Generate a Proposal Variance Matrix for B-Spline Parameters

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 

prop.sig.thetas.fn function

<dl><dt>thetas</dt>
<dd>Spine parameters.</dd>
<dt>xs</dt>
<dd>Data values.</dd>
<dt>mis</dt>
<dd>Subject indicators.</dd>
<dt>us</dt>
<dd>Residuals.</dd>
<dt>s2t</dt>
<dd>Variance.</dd>
<dt>K.t</dt>
<dd>Spline cardinality.</dd>
<dt>P.t</dt>
<dd>Penalty matrix.</dd>
<dt>knots.t</dt>
<dd>Knot points.</dd>
<dt>n</dt>
<dd>Number of grid points.</dd></dl>

Arguments

Generate a Proposal Variance Matrix for B-Spline Parameters — prop.sig.thetas.fn

<dl>

<dt>thetas</dt>
<dd>Spine parameters.</dd>


<dt>xs</dt>
<dd>Data values.</dd>


<dt>mis</dt>
<dd>Subject indicators.</dd>


<dt>us</dt>
<dd>Residuals.</dd>


<dt>s2t</dt>
<dd>Variance.</dd>


<dt>K.t</dt>
<dd>Spline cardinality.</dd>


<dt>P.t</dt>
<dd>Penalty matrix.</dd>


<dt>knots.t</dt>
<dd>Knot points.</dd>


<dt>n</dt>
<dd>Number of grid points.</dd>

</dl>

prop.sig.thetas.fn: Generate a Proposal Variance Matrix for B-Spline Parameters

Description

Usage

Value

Arguments