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.
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