DEmixR: Fit Two-Component Normal and Lognormal Mixture Models

Fits, bootstraps, and evaluates two-component normal and lognormal mixture models. Parameters are estimated by combining differential-evolution global optimization, as implemented in the 'DEoptim' package (Mullen, Ardia, Gil, Windover and Cline, 2011) <doi:10.18637/jss.v040.i06>, with a local 'L-BFGS-B' refinement step via optim(). Also provides preliminary diagnostic plots, automatic normal-versus-lognormal model selection by information criteria, and parametric or nonparametric bootstrap confidence intervals for the fitted parameters.

Version: 0.2.0
Imports: DEoptim (≥ 2.0.0), pbapply (≥ 1.0.0)
Suggests: knitr, rmarkdown, testthat (≥ 3.1.7)
Published: 2026-08-02
DOI: 10.32614/CRAN.package.DEmixR
Author: Farrokh Habibzadeh ORCID iD [aut, cre]
Maintainer: Farrokh Habibzadeh <farrokh.habibzadeh at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: NEWS
CRAN checks: DEmixR results

Documentation:

Reference manual: DEmixR.html , DEmixR.pdf
Vignettes: Introduction to DEmixR (source, R code)

Downloads:

Package source: DEmixR_0.2.0.tar.gz
Windows binaries: r-devel: DEmixR_0.1.1.zip, r-release: DEmixR_0.1.1.zip, r-oldrel: DEmixR_0.1.1.zip
macOS binaries: r-release (arm64): DEmixR_0.1.1.tgz, r-oldrel (arm64): DEmixR_0.1.1.tgz, r-release (x86_64): DEmixR_0.1.1.tgz, r-oldrel (x86_64): DEmixR_0.1.1.tgz
Old sources: DEmixR archive

Linking:

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