It provides in-place operators for R
that are equivalent to '+=', '-=', '*=', '/=' in C++.
Those can be applied on integer|double vectors|matrices.
You have also access to sweep operations (in-place).

A user-friendly interface, using Shiny, to analyse glucose-stimulated insulin secretion (GSIS)
assays in pancreatic beta cells or islets.
The package allows the user to import several sets of experiments from different spreadsheets
and to perform subsequent steps: summarise in a tidy format, visualise data quality
and compare experimental conditions without omitting to account for technical confounders
such as the date of the experiment or the technician.
Together, insane is a comprehensive method that optimises pre-processing and analyses of
GSIS experiments in a friendly-user interface.
The Shiny App was initially designed for EndoC-betaH1 cell line following method described
in Ndiaye et al., 2017 (<doi:10.1016/j.molmet.2017.03.011>).

person(given = "Mickaël",
family = "Canouil",
role = c("aut", "cre"),
email = "mickael@canouil.dev",
comment = c(ORCID = "0000-0002-3396-4549"))

Provides a bioinformatics pipeline for DNA meta-barcoding analysis, including functions for sequence parsing, demultiplexing, quality filtering and probabilistic taxon assignment with informatic sequence classification trees. See Wilkinson et al (2018) <doi:10.7287/peerj.preprints.26812v1>.

Provides tools for probabilistic taxon assignment with informatic sequence classification trees. See Wilkinson et al (2018) <doi:10.7287/peerj.preprints.26812v1>.
ape (>= 3.0.0), aphid (>= 1.3.1), kmer (>= 1.1.0), openssl,
phylogram (>= 2.0.0), RANN, seqinr, stats, utils, xml2

Ecological Database of the World's Insect Pathogens
person("Tad Dallas", role = c("aut","cre"), email = "tad.a.dallas@gmail.com")
David Onstad provided us with this insect disease database, sometimes referred to as the 'Ecological Database of the Worlds Insect Pathogens' or EDWIP. Files have been converted from 'SQL' to csv, and ported into 'R' for easy exploration and analysis. Thanks to the Macroecology of Infectious Disease Research Coordination Network (RCN) for funding and support. Data are also served online in a static format at <https://edwip.ecology.uga.edu/>.
corrplot, dplyr, knitr, rmarkdown, testthat