spedecon: Smoothness-Penalized Deconvolution for Density Estimation Under Measurement Error

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.

Getting started

Package details

AuthorDavid Kent [aut, cre] (<https://orcid.org/0000-0003-2880-1216>)
MaintainerDavid Kent <dk657@cornell.edu>
URL https://www.davidjkent.org
Package repositoryView on CRAN
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spedecon documentation built on May 29, 2024, 8:40 a.m.