abies                   A data set containing localities and
                        environmental condition of an Abies (fir tree)
                        species in California, USA
backg                   A data set containing environmental conditions
                        of background points
calib_area              Delimit calibration area for constructing
                        species distribution models
correct_colinvar        Collinearity reduction of predictor variables
data_bpdp               Calculate data to construct partial dependence
                        surface plots
data_pdp                Calculate data to construct partial dependence
                        plots
env_outliers            Integration of outliers detection methods in
                        environmental space
esm_gam                 Fit and validate Generalized Additive Models
                        based on Ensembles of Small Models approach
esm_gau                 Fit and validate Gaussian Process models based
                        on Ensembles of Small Models approach
esm_gbm                 Fit and validate Generalized Boosted Regression
                        models based on Ensembles of Small Models
                        approach
esm_glm                 Fit and validate Generalized Linear Models
                        based on Ensembles of Small Models approach
esm_max                 Fit and validate Maximum Entropy Models based
                        on Ensemble of Small of Model approach
esm_net                 Fit and validate Neural Networks based on
                        Ensembles of Small of Models approach
esm_svm                 Fit and validate Support Vector Machine models
                        based on Ensembles of Small of Models approach
extra_eval              Measure model extrapolation based on Shape
                        extrapolation metric
extra_truncate          Truncate suitability predictions based on an
                        extrapolation value
fit_dom                 Fit and validate Domain models
fit_ensemble            Ensemble model fitting and validation
fit_gam                 Fit and validate Generalized Additive Models
fit_gau                 Fit and validate Gaussian Process models
fit_gbm                 Fit and validate Generalized Boosted Regression
                        models
fit_glm                 Fit and validate Generalized Linear Models
fit_max                 Fit and validate Maximum Entropy models
fit_net                 Fit and validate Neural Networks models
fit_raf                 Fit and validate Random Forests models
fit_svm                 Fit and validate Support Vector Machine models
get_absences            Build a presence-absence database from
                        multi-species occurrence data
get_block               Transform a spatial partition layer to the same
                        spatial properties as environmental variables
hespero                 A data set containing localities of
                        Hesperocyparis stephensonii species in
                        California, USA
homogenize_na           Homogenize cells with NAs across all layers
interp                  Raster interpolation between two time periods
map_env_dist            Calculate environmental distance between
                        presences and projection data
msdm_posteriori         Methods to correct overprediction of species
                        distribution models based on occurrences and
                        suitability patterns.
msdm_priori             Create spatial predictor variables to reduce
                        overprediction of species distribution models
occ_reproj              Reproject location coordinates to a new
                        coordinate reference system
occfilt_env             Perform environmental filtering on species
                        occurrences
occfilt_geo             Perform geographical filtering on species
                        occurrences
occfilt_select          Select filtered occurrences
p_bpdp                  Bivariate partial dependence plot
p_extra                 Graphical exploration of extrapolation or
                        suitability pattern in the environmental and
                        geographical space
p_pdp                   Partial Dependent Plot
palms                   A data set containing presences of palms
                        species from Southern Brazil
part_random             Conventional data partitioning methods
part_sband              Spatial band cross-validation
part_sblock             Spatial block cross-validation
part_senv               Environmental and spatial cross-validation
plot_res                Plot different resolutions to be used in
                        part_sblock
sample_background       Sample background points
sample_pseudoabs        Sample pseudo-absences
sdm_directory           Create directories for saving the outputs of
                        the flexsdm
sdm_eval                Calculate different model performance metrics
sdm_extract             Extract environmental data values from a
                        spatial raster based on x and y coordinates
sdm_predict             Spatial predictions from individual and
                        ensemble models
sdm_summarize           Merge model performance tables
sdm_uncertainty         Calculate species distribution model
                        uncertainty
sdm_varimp              Calculate permutation-based variable importance
                        scores for SDMs
spp                     A data set containing presences and absences of
                        three virtual species
tune_gbm                Fit and validate Generalized Boosted Regression
                        models with exploration of hyper-parameters
                        that optimize performance
tune_max                Fit and validate Maximum Entropy models with
                        exploration of hyper-parameters that optimize
                        performance
tune_net                Fit and validate Neural Networks models with
                        exploration of hyper-parameters
tune_raf                Fit and validate Random Forest models with
                        exploration of hyper-parameters that optimize
                        performance
tune_svm                Fit and validate Support Vector Machine models
                        with exploration of hyper-parameters that
                        optimize performance
