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 [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_0.2.0.zip, r-release: DEmixR_0.2.0.zip, r-oldrel: DEmixR_0.2.0.zip
macOS binaries:	r-release (arm64): DEmixR_0.2.0.tgz, r-oldrel (arm64): DEmixR_0.2.0.tgz, r-release (x86_64): DEmixR_0.2.0.tgz, r-oldrel (x86_64): DEmixR_0.2.0.tgz
Old sources:	DEmixR archive

Linking:

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