Abbreviating Items Measures using Genetic Algorithms
The GAabbreviate package uses Genetic Algorithms as an optimization tool for scale abbreviation or subset selection that maximally captures the variance in the original data.
c(person("Luca", "Scrucca", role = c("aut"),
email = "luca@stat.unipg.it"),
person("Baljinder K.", "Sahdra", role = c("aut", "cre"),
email = "baljinder.sahdra@acu.edu.au"))

Scale abbreviation using Genetic Algorithms that maximally capture the variance in the original data.
c(person("Luca", "Scrucca", role = c("aut"),
email = "luca.scrucca@unipg.it"),
person("Baljinder K.", "Sahdra", role = c("aut", "cre"),
email = "baljinder.sahdra@acu.edu.au"))

Searching Parsimony Models with Genetic Algorithms
person("F.J.", "Martinez-de-Pison", email = "fjmartin@unirioja.es", role = c("aut", "cre"))
Methodology that combines feature selection, model tuning, and parsimonious model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison} (2015) <DOI:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA selection procedure is introduced based on separate cost and complexity evaluations.
parallel, doParallel, doRNG (>= 1.6), knitr (>= 1.8), lhs,
MASS, caret, mlbench, e1071, nnet, kernlab

Generalized Beta Distribution of the Second Kind: properties,
likelihood, estimation.
Monique Graf <monique.graf@bfs.admin.ch>, Desislava Nedyalkova
<desislava.nedyalkova@bfs.admin.ch>.
GB2 is a simple package that calculates the basic
properties of the Generalized Beta distribution of the second
kind - density, distribution function, quantiles, moments.
Functions for the full loglikelihood, the profile loglikelihood
and the scores are provided. Formulae for various Laeken
indicators under the GB2 are implemented. It performs maximum
likelihood estimation and non-linear least squares eastimation
of the model parameters. It provides various polots for the
vizualization and analysis of the results.

Monique Graf <monique.p.n.graf@bluewin.ch>, Desislava
Nedyalkova <desislava.nedyalkova@unine.ch>.
cubature, hypergeo, laeken, numDeriv, stats
GB2 is a simple package that explores the Generalized Beta
distribution of the second kind. Density, cumulative
distribution function, quantiles and moments of the
distributions are given. Functions for the full log-likelihood,
the profile log-likelihood and the scores are provided.
Formulae for various indicators of inequality and poverty under
the GB2 are implemented. The GB2 is fitted using the methods of
maximum pseudo-likelihood estimation using the full and profile
log-likelihood, and non-linear least squares estimation of the
model parameters. Various plots for the vizualization and
analysis of the results are provided. Variance estimation of
the parameters is provided for the method of maximum
pseudo-likelihood estimation. A compound distribution based on
the GB2 is presented. This compound distribution can be
calculated by a left or right tail decomposition. Density,
cumulative distribution function, moments and quantiles for the
compound distribution can be calculated. The compound
distribution is fitted using the method of maximum likelihood
estimation. The fit can be also adapted for the use of
auxiliary information.