Michel Lang [cre, aut] (<https://orcid.org/0000-0001-9754-0393>),
  R Core Team [aut]

A powerful and elegant high-level data visualization
  system inspired by Trellis graphics, with an emphasis on
  multivariate data. Lattice is sufficient for typical graphics needs,
  and is also flexible enough to handle most nonstandard requirements.
  See ?Lattice for an introduction.

person("Jim", "Hester", email = "james.f.hester@gmail.com", role = c("aut", "cre"))

An implementation of interpreted string literals, inspired by
  Python's Literal String Interpolation <https://www.python.org/dev/peps/pep-0498/> and Docstrings
  <https://www.python.org/dev/peps/pep-0257/> and Julia's Triple-Quoted String Literals
  <https://docs.julialang.org/en/stable/manual/strings/#triple-quoted-string-literals>.

testthat, covr, magrittr, crayon, knitr, rmarkdown, DBI,
RSQLite, R.utils, forcats, microbenchmark, rprintf, stringr,
ggplot2, dplyr, withr

Data analysis, linear models and differential expression for microarray data.

Gordon Smyth [cre,aut], Yifang Hu [ctb], Matthew Ritchie [ctb], Jeremy Silver [ctb], James Wettenhall [ctb], Davis McCarthy [ctb], Di Wu [ctb], Wei Shi [ctb], Belinda Phipson [ctb], Aaron Lun [ctb], Natalie Thorne [ctb], Alicia Oshlack [ctb], Carolyn de Graaf [ctb], Yunshun Chen [ctb], Mette Langaas [ctb], Egil Ferkingstad [ctb], Marcus Davy [ctb], Francois Pepin [ctb], Dongseok Choi [ctb]

grDevices, graphics, stats, utils, methods

affy, AnnotationDbi, BiasedUrn, Biobase, ellipse, GO.db,
gplots, illuminaio, locfit, MASS, org.Hs.eg.db, splines,
statmod (>= 1.2.2), vsn

ExonArray, GeneExpression, Transcription,
AlternativeSplicing, DifferentialExpression,
DifferentialSplicing, GeneSetEnrichment, DataImport, Bayesian,
Clustering, Regression, TimeCourse, Microarray, MicroRNAArray,
mRNAMicroarray, OneChannel, ProprietaryPlatforms, TwoChannel,
Sequencing, RNASeq, BatchEffect, MultipleComparison,
Normalization, Preprocessing, QualityControl,
BiomedicalInformatics, CellBiology, Cheminformatics,
Epigenetics, FunctionalGenomics, Genetics, ImmunoOncology,
Metabolomics, Proteomics, SystemsBiology, Transcriptomics