new_spedecon_gtwid

Constructor for class <code>spedecon_gtwid</code>. Use helper functions <code>gaussian_gtwid()</code>, <code>laplace_gtwid()</code>, and <code>uniform_gtwid()</code> instead whenever possible.

Implements the Smoothness-Penalized Deconvolution method for estimating a probability density under measurement error of Kent and Ruppert (2023) <doi:10.1080/01621459.2023.2259028>. The estimator is formed by computing a histogram of the error-contaminated data, and then finding an estimate that minimizes a reconstruction error plus a smoothness-inducing penalty term. The primary function, sped(), takes the data and error distribution, and returns the estimator as a function.

David Kent

spedecon

Smoothness-Penalized Deconvolution for Density Estimation Under
Measurement Error

new_spedecon_gtwid function

<dl><dt>gtwid</dt>
<dd>Function representing the Fourier transform</dd>
<dt>family</dt>
<dd>List with at least one entry <code>family[["family"]]</code> naming the family of distributions, and possibly other entries stating the values of the parameters in that family.</dd></dl>

Arguments

Creates object of class spedecon_gtwid — new_spedecon_gtwid

<dl>

<dt>gtwid</dt>
<dd>Function representing the Fourier transform</dd>


<dt>family</dt>
<dd>List with at least one entry <code>family[["family"]]</code> naming the family of distributions, and possibly other entries stating the values of the parameters in that family.</dd>

</dl>

new_spedecon_gtwid: Creates object of class `spedecon_gtwid`

Description

Usage

Value

Arguments

Details

See Also