raster, dismo, doSNOW, doParallel, parallel, foreach, utils,
graphics, stats, grDevices, maxnet, dplyr, tidyr, ggplot2,
testthat, glmnet, rangeModelMetadata
rJava (>= 0.5-0), knitr, rmarkdown, spocc, RColorBrewer,
rasterVis, sf, blockCV, devtools, tibble, latticeExtra

sp, raster, dismo, doSNOW, doParallel, parallel, foreach,
utils, graphics, stats, grDevices, maxnet, dplyr, tidyr,
ggplot2, testthat, glmnet, rangeModelMetadata, rlang
rmarkdown, knitr, rJava (>= 0.5-0), spocc, RColorBrewer,
rasterVis, sf, blockCV, devtools, tibble, latticeExtra, ecospat

Fernando Canovas, Chiara Magliozzi, Jose Antonio Palazon-Ferrando, Frederico Mestre, Mercedes Gonzalez-Wanguemert
The package allows to perform the Ecological Niche Factor Analysis, calculate habitat suitability maps and classify the habitat in suitability classes. Computations are executed in a throw-away GRASS environment from R in order to be able to perform analysis with large data sets.

A set of tools for the analysis of ecological niche of species and calculation of habitat suitability maps.

The ENmisc library contains functions useful for data
analyses like mtapply (a multivariate version of tapply) and
wtd.boxplot (a boxplot with weights)

c(person(given = "Erich", family = "Neuwirth", role =
c("aut", "cre"), email = "erich.neuwirth@univie.ac.at"))
The ENmisc library contains utility function for different
purposes: mtapply and mlapply (multivariate version of tapply
and lapply), wtd.boxplot (a boxplot with weights), and a visual
interface to restructuring mosaic plots.
Hmisc, vcd (>= 1.2-11), gWidgets (>= 0.0-45), gWidgetstcltk
(>= 0.0-44), RColorBrewer

The ENmisc library contains utility function for different purposes:
mtapply and mlapply (multivariate version of tapply and lapply),
wtd.boxplot (a boxplot with weights), and a visual interface
to restructuring mosaic plots.

Hmisc, vcd (>= 1.2-11), gWidgets (>= 0.0-45), gWidgetstcltk
(>= 0.0-44), RColorBrewer, Rcmdr

The ENmisc package contains utility function for different
purposes: mtapply and mlapply (multivariate version of tapply
and lapply), wtd.boxplot (a boxplot with weights), and a visual
interface to restructuring mosaic plots.