foreach, iterators, colorspace, lattice, parallelly

Differential Evolution Optimization in pure R
Eduardo L. T. Conceicao and Martin Maechler [ctb]
Eduardo L. T. Conceicao <econceicao@kanguru.pt>
An implementation of the jDE variant of the Differential Evolution
stochastic algorithm for global optimization of nonlinear programming problems.

Differential Evolution Optimization in Pure R
c(
person(c("Eduardo", "L. T."), "Conceicao",
role = c("aut", "cre"),
email = "mail@eduardoconceicao.org"),
person("Martin", "Maechler",
role = "ctb",
email = "maechler@stat.math.ethz.ch",
comment = c(ORCID = "0000-0002-8685-9910"))
)
Differential Evolution (DE) stochastic algorithms for global
optimization of problems with and without constraints.
The aim is to curate a collection of its state-of-the-art variants that
(1) do not sacrifice simplicity of design,
(2) are essentially tuning-free, and
(3) can be efficiently implemented directly in the R language.
Currently, it only provides an implementation of the 'jDE' algorithm by
Brest et al. (2006) <doi:10.1109/TEVC.2006.872133>.
Eduardo L. T. Conceicao [aut, cre],
Martin Maechler [ctb] (<https://orcid.org/0000-0002-8685-9910>)
Eduardo L. T. Conceicao <mail@eduardoconceicao.org>

An implementation of the jDE variant of the Differential Evolution
stochastic algorithm for global optimization of nonlinear programming
problems.

An implementation of a bespoke jDE variant of the
Differential Evolution stochastic algorithm for global optimization of
nonlinear programming problems.

Eduardo L. T. Conceicao [aut, cre] and Martin Maechler [ctb]

c(person("Eduardo L. T.", "Conceicao", role = c("aut", "cre"),
email = "mail@eduardoconceicao.org"),
person("Martin", "Maechler", role = "ctb",
email = "maechler@stat.math.ethz.ch")
)
Eduardo L. T. Conceicao [aut, cre],
Martin Maechler [ctb]

Deconvolute Mixed Genomes with Unknown Proportions
c(
person("Joe", "Zhu", role=c("aut", "cre", "cph"), email="joe.zhu@well.ox.ac.uk")
)
Traditional phasing programs are limited to diploid organisms.
Our method modifies Li and Stephens algorithm with Markov chain Monte Carlo
(MCMC) approaches, and builds a generic framework that allows haplotype searches
in a multiple infection setting. This package is primarily developed as part of
the Pf3k project, which is a global collaboration using the latest
sequencing technologies to provide a high-resolution view of natural variation
in the malaria parasite Plasmodium falciparum. Parasite DNA are extracted from
patient blood sample, which often contains more than one parasite strain, with
unknown proportions. This package is used for deconvoluting mixed haplotypes,
and reporting the mixture proportions from each sample.