Florian Schmid, Christoph Muessel, Johann M. Kraus, Hans A. Kestler
Toolbox for various enrichment analysis methods and quantification of uncertainty of gene sets (Schmid et al. (2016) <doi:10.1093/bioinformatics/btw030>).
GlobalAncova, globaltest, fdrtool, st, limma, DESeq2

Luis Diaz-Garcia and Giovanny Covarrubias-Pazaran, with collaborations of Brandon Schlautman, Walter Salazar and Juan Zalapa.
Performs image segmentation in fruit or seeds pictures in order to measure physical features in a high-throughput manner for genome-wide association (GWAS) and genomic selection programs.
R (>= 3.2.1), methods, stats, EBImage, png, parallel,
doParallel, foreach

Julien Stoehr, Pierre Pudlo and Nial Friel
Allows calculation on, and
sampling from Gibbs Random Fields, and more precisely general
homogeneous Potts model. The primary tool is the exact computation of
the intractable normalising constant for small rectangular lattices.
Beside the latter function, it contains method that give exact sample from the likelihood
for small enough rectangular lattices or approximate sample from the
likelihood using MCMC samplers for large lattices.

Gibbs Sampler for One-Way Mixed-Effects ANOVA and ANCOVA Models
Gibbs sampler for one-way linear mixed-effects models
(ANOVA, ANCOVA) with homoscedasticity of errors and uniform
priors.

Multivariate Analysis with Optimal Scaling
c(person("Patrick", "Mair", role = c("aut", "cre"), email = "mair@fas.harvard.edu"), person("Jan", "De Leeuw", role = "aut"), person("Patrick J. F.", "Groenen", role = "ctb"))
Implements categorical principal component analysis ('PRINCALS'), multiple correspondence analysis ('HOMALS'), monotone regression analysis ('MORALS'). It replaces the 'homals' package.
Patrick Mair [aut, cre],
Jan De Leeuw [aut],
Patrick J. F. Groenen [ctb]

Implements categorical principal component analysis ('PRINCALS'), multiple correspondence analysis ('HOMALS'). It replaces the 'homals' package.

Gillespie's Stochastic Simulation Algorithm (SSA)
GillespieSSA provides a simple to use, intuitive, and extensible interface to several stochastic simulation algorithms for generating simulated trajectories of finite population size continuous-time model. Currently it implements the Gillespie's exact stochastic simulation algorithm (Direct method) and several approximate methods (Explicit tau-leap, Binomial tau-leap, and Optimized tau-leap). The package also contains a library of template models that can easily be customized and extended.