Package: SSDM
Type: Package
Title: Stacked Species Distribution Modelling
Version: 0.2.9
Author: Sylvain Schmitt, Robin Pouteau, Dimitri Justeau, Florian de Boissieu, Lukas Baumbach, Philippe Birnbaum
Maintainer: Sylvain Schmitt <sylvain.m.schmitt@gmail.com>
URL: https://github.com/sylvainschmitt/SSDM
BugReports: https://github.com/sylvainschmitt/SSDM/issues
Description: Allows to map species richness and endemism based on stacked
    species distribution models (SSDM). Individuals SDMs can be created using a
    single or multiple algorithms (ensemble SDMs). For each species, an SDM can
    yield a habitat suitability map, a binary map, a between-algorithm variance
    map, and can assess variable importance, algorithm accuracy, and between-
    algorithm correlation. Methods to stack individual SDMs include summing
    individual probabilities and thresholding then summing. Thresholding can be
    based on a specific evaluation metric or by drawing repeatedly from a Bernoulli
    distribution. The SSDM package also provides a user-friendly interface.
License: GPL (>= 3) | file LICENSE
LazyData: TRUE
Imports: sf (>= 1.0-14), raster (>= 2.9-5), methods (>= 3.2.2), mgcv
        (>= 1.8.7), earth (>= 4.4.3), rpart (>= 4.1.10), gbm (>=
        2.1.1), randomForest (>= 4.6.10), dismo (>= 1.0.12), nnet (>=
        7.3.10), e1071 (>= 1.6.7), ggplot2 (>= 3.1.1), reshape2 (>=
        1.4.3), scales (>= 1.0.0), shiny (>= 0.12.2), shinydashboard
        (>= 0.5.1), spThin (>= 0.1.0), poibin (>= 1.3.0), foreach (>=
        1.4.4), doParallel (>= 1.0.14), iterators (>= 1.0.10),
        itertools (>= 0.1-3), parallel (>= 3.5.2), leaflet (>= 2.2.0),
        magrittr (>= 2.0.3), sdm (>= 1.1.8)
Depends: R (>= 3.2.2)
Collate: 'SDM.R' 'Algorithm.SDM.R' 'Ensemble.SDM.R' 'Env.R'
        'Occurrences.R' 'PA.select.R' 'SSDM.R' 'Stacked.SDM.R'
        'accuracy.R' 'checkargs.R' 'data.values.R' 'ensemble.R'
        'optim.thresh.R' 'evaluate.R' 'modelling.R'
        'ensemble_modelling.R' 'evaluate.axes.R' 'get_PA.R'
        'get_model.R' 'gui.R' 'load_model.R' 'load_occ.R' 'load_var.R'
        'mapDiversity.R' 'plot.model.R' 'project.R' 'save.model.R'
        'stack_modelling.R' 'stacking.R' 'update.stack.R'
        'utils-pipe.R' 'zzz.R'
Suggests: testthat, knitr, rmarkdown, shinyFiles
RoxygenNote: 7.2.3
VignetteBuilder: knitr, rmarkdown
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2023-10-24 12:04:46 UTC; sschmitt
Repository: CRAN
Date/Publication: 2023-10-24 13:40:18 UTC
Built: R 4.2.3; ; 2024-04-24 02:19:17 UTC; windows
