BayesDecon: Density Deconvolution Using Bayesian Semiparametric Methods

Estimates the density of a variable in a measurement error setup, potentially with an excess of zero values. For more details see Sarkar (2022) <doi:10.1080/10618600.2022.2060239>.

Version: 0.1.3
Depends: R (≥ 4.1.0)
Imports: Rcpp, msm, corpcor, ks, mvtnorm
LinkingTo: Rcpp, RcppArmadillo
Suggests: ggplot2, gridExtra, parallel, foreach, doParallel, RColorBrewer
Published: 2026-01-09
DOI: 10.32614/CRAN.package.BayesDecon (may not be active yet)
Author: Blake Moya [aut], Mainak Manna [cre, aut], Abhra Sarkar [aut], The University of Texas at Austin [cph, fnd]
Maintainer: Mainak Manna <mainakmanna29 at utexas.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: BayesDecon results

Documentation:

Reference manual: BayesDecon.html , BayesDecon.pdf

Downloads:

Package source: BayesDecon_0.1.3.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): BayesDecon_0.1.3.tgz, r-oldrel (arm64): BayesDecon_0.1.3.tgz, r-release (x86_64): BayesDecon_0.1.3.tgz, r-oldrel (x86_64): BayesDecon_0.1.3.tgz

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