RFcv                    Cross validation, n-fold for random forest (RF)
avi                     Averaged variable importance based on random
                        forest
cran-comments           Note on notes
gbmcv                   Cross validation, n-fold for generalized
                        boosted regression modeling (gbm)
gbmidwcv                Cross validation, n-fold for the hybrid method
                        of generalized boosted regression modeling and
                        inverse distance weighting (gbmidw)
gbmidwpred              Generate spatial predictions using the hybrid
                        method of generalized boosted regression
                        modeling and inverse distance weighting
                        (gbmidw)
gbmokcv                 Cross validation, n-fold for the hybrid method
                        of generalized boosted regression modeling and
                        ordinary kriging (gbmok)
gbmokgbmidwcv           Cross validation, n-fold for the average of the
                        hybrid method of generalized boosted regression
                        modeling and ordinary kriging and the hybrid
                        method of generalized boosted regression
                        modeling and inverse distance weighting
                        (gbmokgbmidw)
gbmokgbmidwpred         Generate spatial predictions using the average
                        of the hybrid method of generalized boosted
                        regression modeling and ordinary kriging and
                        the hybrid method of generalized boosted
                        regression modeling and inverse distance
                        weighting (gbmokgbmidw)
gbmokpred               Generate spatial predictions using the hybrid
                        method of generalized boosted regression
                        modeling and ordinary kriging (gbmok)
gbmpred                 Generate spatial predictions using generalized
                        boosted regression modeling (gbm)
hard                    A dataset of seabed hardness in the eastern
                        Joseph Bonaparte Golf, northern Australia
                        marine margin
idwcv                   Cross validation, n-fold for inverse distance
                        weighting (IDW)
idwpred                 Generate spatial predictions using inverse
                        distance weighting (IDW)
okcv                    Cross validation, n-fold for ordinary kriging
                        (OK)
okpred                  Generate spatial predictions using ordinary
                        kriging (OK)
petrel                  A dataset of seabed sediments in the Petrel
                        sub-basin in Australia Exclusive Economic Zone
petrel.grid             A dataset of grids for producing spatial
                        predictions of seabed sediment content in the
                        Petrel sub-basin in Australia Exclusive
                        Economic Zone
pred.acc                Predictive error and accuracy measures for
                        predictive models based on cross-validation
rfidwcv                 Cross validation, n-fold for the hybrid method
                        of random forest and inverse distance weighting
                        (RFIDW)
rfidwpred               Generate spatial predictions using the hybrid
                        method of random forest and inverse distance
                        weighting (RFIDW)
rfokcv                  Cross validation, n-fold for the hybrid method
                        of random forest and ordinary kriging (RFOK)
rfokpred                Generate spatial predictions using the hybrid
                        method of random forest and ordinary kriging
                        (RFOK)
rfokrfidwcv             Cross validation, n-fold for the average of the
                        hybrid method of random forest and ordinary
                        kriging and the hybrid method of random forest
                        and inverse distance weighting (RFOKRFIDW)
rfokrfidwpred           Generate spatial predictions using the average
                        of the hybrid method of random forest and
                        ordinary kriging and the hybrid method of
                        random forest and inverse distance weighting
                        (RFOKRFIDW)
rfpred                  Generate spatial predictions using random
                        forest (RF)
rgcv                    Cross validation, n-fold for random forest in
                        ranger (RG)
rgidwcv                 Cross validation, n-fold for the hybrid method
                        of random forest in ranger and inverse distance
                        weighting (RGIDW)
rgidwpred               Generate spatial predictions using the hybrid
                        method of random forest in ranger and inverse
                        distance weighting (RGIDW)
rgokcv                  Cross validation, n-fold for the hybrid method
                        of random forest in ranger and ordinary kriging
                        (RGFOK)
rgokpred                Generate spatial predictions using the hybrid
                        method of random forest in ranger and ordinary
                        kriging (RGOK)
rgokrgidwcv             Cross validation, n-fold for the average of the
                        hybrid method of random forest in ranger (RG)
                        and ordinary kriging and the hybrid method of
                        RG and inverse distance weighting (RGOKRGIDW)
rgokrgidwpred           Generate spatial predictions using the average
                        of the hybrid method of random forest in ranger
                        (RG) and ordinary kriging and the hybrid method
                        of RG and inverse distance weighting
                        (RGOKRGIDW)
rgpred                  Generate spatial predictions using random
                        forest in ranger (RG)
rvi                     Relative variable influence based on
                        generalized boosted regression modeling (gbm)
sponge                  A dataset of sponge species richness in the
                        Timor Sea region, northern Australia marine
                        margin
sponge.grid             A dataset of predictors for generating sponge
                        species richness in a selected region in the
                        Timor Sea region, northern Australia marine
                        margin
sw                      A dataset of grids for producing spatial
                        predictions of seabed mud content in the
                        southwest Australia Exclusive Economic Zone
swmud                   A dataset of seabed mud content in the
                        southwest Australia Exclusive Economic Zone
tovecv                  Convert error measures to vecv
vecv                    Variance explained by predictive models based
                        on cross-validation
