c(person(given = "Stefan",
family = "Fleck",
role = c("aut", "cre"),
email = "stefan.b.fleck@gmail.com",
comment = c(ORCID = "0000-0003-3344-9851")),
person(given = "Hadley",
family = "Wickham",
role = "aut",
email = "hadley@rstudio.com",
comment = c(ORCID = "0000-0003-4757-117X")),
person(given = "Romain",
family = "François",
role = "aut",
comment = c(ORCID = "0000-0002-2444-4226")),
person(given = "Lionel",
family = "Henry",
role = "aut"),
person(given = "Kirill",
family = "Müller",
role = "aut",
comment = c(ORCID = "0000-0002-1416-3412")))
Functions for vectorised conditional recoding of
variables. case_when() enables you to vectorise multiple if and else
statements (like 'CASE WHEN' in 'SQL'). if_else() is a stricter and
more predictable version of ifelse() in 'base' that preserves
attributes. These functions are forked from 'dplyr' with all package
dependencies removed and behave identically to the originals.
Stefan Fleck [aut, cre] (<https://orcid.org/0000-0003-3344-9851>),
Hadley Wickham [aut] (<https://orcid.org/0000-0003-4757-117X>),
Romain François [aut] (<https://orcid.org/0000-0002-2444-4226>),
Lionel Henry [aut],
Kirill Müller [aut] (<https://orcid.org/0000-0002-1416-3412>)

This package contains some simple objects and functions to do
statistics using linear models and a Bayesian framework.

This package contains some simple objects and functions to
do statistics using linear models and a Bayesian framework.

Some simple objects and functions to do
statistics using linear models and a Bayesian framework.

Tools for data handling and analysis in macroecology
R functions for handling and analyzing geographic data, mainly
species' geographic distributions (in ESRI shapefile format) and
environmental variables (in raster format), as well as species' information
related to their description (e.g. taxonomy and year of description) and
conservation status (e.g. category of threat, population trend) as provided
by the IUCN's RedList database. The package includes functions to create
presence-absence matrices based on species distributions and user-defined
grid systems, from which several other functions could be applied to
generate, for example, species richness rasters and maps, and geographical
midpoints of species. In addition, it provides a function to create spatial
correlograms of variables, based on the Moran's I index, under the
equiprobable or equidistant criterion to define distance classes.
maps, raster, XML, geosphere, maptools, sp