Disc Memoisation for R, enabling faster computation by avoiding repeated re-evaluation of function calls.

rgdal, gbm, splines, XML, ROCR, deldir, gstat, randomForest,
kernlab
Robert Hijmans, Steven Phillips, John Leathwick and Jane Elith
Functions for species distribution modeling, that is,
predicting entire distributions form occurences at specific
sites.

rgdal, gbm, splines, XML, ROCR, deldir, gstat, randomForest,
kernlab, maptools
Functions for species distribution modeling, that is,
predicting entire geographic distributions form occurences at
specific sites.

Robert J. Hijmans, Steven Phillips, John Leathwick and Jane
Elith

rJava (>= 0.5-0), rgdal, gbm, splines, XML, ROCR, deldir,
gstat, randomForest, kernlab, maptools

Robert J. Hijmans, Steven Phillips, John Leathwick and Jane Elith
Functions for species distribution modeling, that is, predicting entire geographic distributions form occurences at specific sites.

rJava (>= 0.5-0), rgdal, rgeos, gbm, splines, XML, ROCR,
deldir, gstat, randomForest, kernlab, maptools
Functions for species distribution modeling, that is,
predicting entire geographic distributions form occurrences at
a number of sites.

Functions for species distribution modeling, that is, predicting entire geographic distributions form occurrences at a number of sites.

rJava (>= 0.5-0), rgdal, rgeos, XML, ROCR, deldir, gstat,
randomForest, kernlab, maptools, jsonlite, gbm (>= 2.1.1)

Functions for species distribution modeling, that is, predicting entire geographic distributions form occurrences at a number of sites and the environment at these sites.

rJava (>= 0.9-7), rgdal, rgeos, XML, ROCR, deldir, gstat,
randomForest, kernlab, maptools, jsonlite, gbm (>= 2.1.1)

Functions for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.
rJava (>= 0.9-7), terra, rgdal, rgeos, XML, ROCR, deldir,
gstat,randomForest, kernlab, maptools, jsonlite,gbm (>= 2.1.1)

Methods for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.
rJava (>= 0.9-7), terra, rgdal, rgeos, XML, ROCR, deldir,
gstat, randomForest, kernlab, maptools, jsonlite, gbm (>=
2.1.1)