fr.prob.nonzero

Maximization function for B-spline zero-inflation probability function
parameter initialization in <code>bdeconv()</code>

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 

fr.prob.nonzero function

<dl><dt>log_diff_thetas</dt>
<dd>Spline parameters.</dd>
<dt>xs</dt>
<dd>Data values.</dd>
<dt>knots.t</dt>
<dd>Knot points.</dd>
<dt>P.t</dt>
<dd>Penalty matrix.</dd>
<dt>s2t</dt>
<dd>Variance</dd>
<dt>probs.emp</dt>
<dd>Empirical consumption probability.</dd></dl>

Arguments

Maximization function for B-spline zero-inflation probability function
parameter initialization in bdeconv() — fr.prob.nonzero

<dl>

<dt>log_diff_thetas</dt>
<dd>Spline parameters.</dd>


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


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


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


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


<dt>probs.emp</dt>
<dd>Empirical consumption probability.</dd>

</dl>

fr.prob.nonzero: Maximization function for B-spline zero-inflation probability function parameter initialization in `bdeconv()`

Description

Usage

Value

Arguments