DESCRIPTION

Package: mopa
Depends:
    R (>= 3.5.0),
    raster,
    sp
Imports:
    splancs,
    spam,
    spatstat.geom (>= 1.65),
    sampling,
    dismo,
    rpart,
    tree,
    e1071,
    earth,
    randomForest,
    PresenceAbsence,
    lattice,
    graphics,
    grDevices,
    gtools,
    ranger,
    abind,
    transformeR
Suggests:
    rJava (>= 0.5-0),
    caret (>= 6.0-76),
    climate4R.datasets,
    visualizeR
Type: Package
Title: Species Distribution MOdeling with Pseudo-Absences
Version: 1.1.2
Date: 2023-11-27
Authors@R: c(person("Maialen", "Iturbide", role = c("aut", "cre"), email = "miturbide@ifca.unican.es"),
              person("Joaquin", "Bedia", role = "ctb"),
              person("SantanderMetGroup", "http://meteo.unican.es", role = "ctb"))
Description: Tools for transferable species distribution modeling and pseudo-absence 
    data generation allowing the straightforward design of relatively complex experiments 
    with multiple factors affecting the uncertainty (variability) of SDM outputs 
    (pseudo-absence sample, climate projection, modeling algorithm, etc.), and the 
    quantification of the contribution of different factors to the final variability 
    following the method described in Deque el al. (2010) <doi:10.1007/s00382-011-1053-x>. 
    Multiple methods for pseudo-absence data generation can be applied, including the novel 
    Three-step method as described in Iturbide et al. (2015) <doi:10.1016/j.ecolmodel.2015.05.018>.
    Additionally, a function for niche overlap calculation is provided, considering the metrics 
    described in Warren et al. (2008) <10.1111/j.1558-5646.2008.00482.x> and in
    Pianka (1973) <10.1146/annurev.es.04.110173.000413>.
BugReports: https://github.com/SantanderMetGroup/mopa/issues
URL: https://github.com/SantanderMetGroup/mopa/wiki
License: file LICENSE
LazyLoad: true
RoxygenNote: 7.1.2
Maintainer: Maialen Iturbide <miturbide@ifca.unican.es>