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
Author: David Kent ORCID iD [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

Documentation:

Reference manual: spedecon.pdf

Downloads:

Package source: spedecon_0.1.tar.gz
Windows binaries: r-prerel: spedecon_0.1.zip, r-release: spedecon_0.1.zip, r-oldrel: spedecon_0.1.zip
macOS binaries: r-prerel (arm64): spedecon_0.1.tgz, r-release (arm64): spedecon_0.1.tgz, r-oldrel (arm64): spedecon_0.1.tgz, r-prerel (x86_64): spedecon_0.1.tgz, r-release (x86_64): spedecon_0.1.tgz

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