DESCRIPTION

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