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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 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-devel: spedecon_0.1.zip, r-release: spedecon_0.1.zip, r-oldrel: spedecon_0.1.zip
macOS binaries: r-release (arm64): spedecon_0.1.tgz, r-oldrel (arm64): spedecon_0.1.tgz, r-release (x86_64): spedecon_0.1.tgz, r-oldrel (x86_64): spedecon_0.1.tgz

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.