Jenni Niku, Wesley Brooks, Riki Herliansyah, Francis K.C. Hui, Sara Taskinen, David I. Warton, Bert van der Veen

c(person("Jenni", "Niku", role = c("aut", "cre"), email = "jenni.m.e.niku@jyu.fi"),
person("Wesley", "Brooks", role = "aut"),
person("Riki", "Herliansyah", role = "aut"),
person("Francis K.C.", "Hui", role = "aut"),
person("Sara", "Taskinen", role = "aut"),
person("David I.", "Warton", role = "aut"),
person("Bert", "van der Veen", role = "aut"))
Jenni Niku [aut, cre],
Wesley Brooks [aut],
Riki Herliansyah [aut],
Francis K.C. Hui [aut],
Sara Taskinen [aut],
David I. Warton [aut],
Bert van der Veen [aut]

Analysis of multivariate data using generalized linear latent variable models (gllvm).
Estimation is performed using either Laplace approximation method or variational approximation method implemented via TMB (Kristensen et al., (2016), <doi:10.18637/jss.v070.i05>).
For details see Niku et al. (2019a) <doi:10.1371/journal.pone.0216129> and
Niku et al. (2019b) <doi:10.1111/2041-210X.13303>.
rmarkdown, testthat, gclus, corrplot, lattice

Distributed 'glm' for Big Data using 'ddR' API
Distributed training and prediction of generalized linear models using 'ddR' (Distributed Data Structures) API in the 'ddR' package.

'C' and 'Java' Source Code Generator for Fitted Glm Objects
c(person("Oscar","Castro-Lopez", email="castroloj@gmail.com", role=c("cre", "aut")),
person("Ines", "Vega-Lopez", email="ifvega@uas.edu.mx", role=c("aut")))
Oscar Castro-Lopez [cre, aut],
Ines Vega-Lopez [aut]
Provides two functions that generate source code implementing the predict
function of fitted glm objects. In this version, code can be generated for either 'C'
or 'Java'. The idea is to provide a tool for the easy and fast deployment of glm
predictive models into production. The source code generated by this package implements
two function/methods. One of such functions implements the equivalent to
predict(type="response"), while the second implements predict(type="link"). Source code
is written to disk as a .c or .java file in the specified path. In the case of c, an .h
file is also generated.