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.

Version:	0.1
Imports:	quadprog, splines, methods, stats, graphics
Published:	2024-01-12
DOI:	10.32614/CRAN.package.spedecon
Author:	David Kent [aut, cre]
Maintainer:	David Kent <dk657 at cornell.edu>
License:	GPL-3
URL:	https://www.davidjkent.org
NeedsCompilation:	no
Citation:	spedecon citation info
CRAN checks:	spedecon results

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