Cardoso's JADE algorithm as well as his functions for joint diagonalization are ported to R. Also several other blind source separation (BSS) methods, like AMUSE and SOBI, and some criteria for performance evaluation of BSS algorithms, are given. The package is described in Miettinen, Nordhausen and Taskinen (2017) <doi:10.18637/jss.v076.i02>.

c(person(given = "Klaus", family = "Nordhausen", role = c("aut", "cre"), email = "klaus.nordhausen@tuwien.ac.at",
comment = c(ORCID = "0000-0002-3758-8501")),
person(given = "Jean-Francois", family = "Cardoso", role = "aut"),
person(given = "Jari", family = "Miettinen", role = "aut",
comment = c(ORCID = "0000-0002-3270-7014")),
person(given = "Hannu", family = "Oja", role = "aut"),
person(given = "Esa", family = "Ollila", role = "aut"),
person(given = "Sara", family = "Taskinen", role = "aut",
comment = c(ORCID = "0000-0001-9470-7258")))
Klaus Nordhausen [aut, cre] (<https://orcid.org/0000-0002-3758-8501>),
Jean-Francois Cardoso [aut],
Jari Miettinen [aut] (<https://orcid.org/0000-0002-3270-7014>),
Hannu Oja [aut],
Esa Ollila [aut],
Sara Taskinen [aut] (<https://orcid.org/0000-0001-9470-7258>)

Joint Analysis of Genotype and Group-specific Variability Using
a Novel Score Test Approach to Map eQTL
Chaitanya R. Acharya and Andrew S. Allen
Implements a 2 degree-of-freedom score test that measures 1) the overall shift in the gene expression due to genotype, and 2) group-specific changes in gene expression due to genotype (interaction term) in a mixed-effects model framework.

R (>= 3.0.0), Rcpp, plyr, lme4, doParallel

Joint Analysis of Genotype and Group-Specific Variability Using
a Novel Score Test Approach to Map eQTL
Implements a novel score test that measures 1) the overall shift in the gene expression due to genotype (additive genetic effect), and 2) group-specific changes in gene expression due to genotype (interaction effect) in a mixed-effects model framework.

Joint Analysis of Genotype and Group-Specific Variability Using
a Novel Score Test Approach to Map Expression Quantitative
Trait Loci (eQTL)
R (>= 3.0.0), Rcpp, plyr, lme4, reshape2