c(person(given = "Myles",family = "Lewis",
role = c("aut", "cre"),
email = "myles.lewis@qmul.ac.uk",
comment = c(ORCID = "0000-0001-9365-5345")),
person(given = "Katriona",family = "Goldmann",
role = c("aut"),
email = "k.goldmann@qmul.ac.uk",
comment = c(ORCID = "0000-0002-9073-6323")),
person(given = "Elisabetta",family = "Sciacca",
role = c("aut"),
email = "e.sciacca@qmul.ac.uk",
comment = c(ORCID = "0000-0001-7525-1558")),
person(given = "Cankut",family = "Cubuk",
role = c("ctb"),
email = "c.cubuk@qmul.ac.uk",
comment = c(ORCID = "0000-0003-4646-0849")),
person(given = "Anna", family = "Surace",
role = c("ctb"),
email = "a.surace@qmul.ac.uk",
comment = c(ORCID = "0000-0001-9589-3005")))
MASS, car, stats, ggplot2, ggpubr, glmmTMB, graphics, lme4,
lmerTest, methods, plotly, qvalue, pbapply, pbmcapply

Generalized Linear Mixed Models using Template Model Builder
c(person("Arni","Magnusson",role="aut"),
person("Hans","Skaug",role="aut"),
person("Anders","Nielsen",role="aut"),
person("Casper","Berg",role="aut"),
person("Kasper","Kristensen",role="aut"),
person("Martin","Maechler",role="aut"),
person("Koen","van Bentham",role="aut"),
person("Ben","Bolker",role="aut"),
person("Mollie","Brooks",role=c("aut","cre"),
email="mollieebrooks@gmail.com"))
Fit linear and generalized linear mixed models with various
extensions, including zero-inflation. The models are fitted using maximum
likelihood estimation via 'TMB' (Template Model Builder). Random effects are
assumed to be Gaussian on the scale of the linear predictor and are integrated
out using the Laplace approximation. Gradients are calculated using automatic
differentiation.
knitr, testthat, MASS, lattice, ggplot2, mlmRev, bbmle, pscl,
MCMCpack, coda, reshape2
Arni Magnusson [aut],
Hans Skaug [aut],
Anders Nielsen [aut],
Casper Berg [aut],
Kasper Kristensen [aut],
Martin Maechler [aut],
Koen van Bentham [aut],
Ben Bolker [aut],
Mollie Brooks [aut, cre]

knitr, testthat, MASS, lattice, ggplot2, mlmRev, bbmle (>=
1.0.19), pscl, MCMCpack, coda, reshape2