bees                    A dataset of bees count data and relevant
                        information in oilseed Brassica fields in an
                        Australian temperate landscape.
ccr                     Correct classification rate for predictive
                        models based on cross -validation
cran-comments           Note on notes
datasplit               Split data for k-fold cross-validation
decimaldigit            Digit number after decimal point for a numeric
                        variable
gbmkrigeidwcv           Cross validation, n-fold and leave-one-out for
                        the hybrid methods of generalized boosted
                        regression modeling ('gbm'), 'kriging' and
                        inverse distance weighted ('IDW').
gbmkrigeidwpred         Generate spatial predictions using the hybrid
                        methods of generalized boosted regression
                        modeling ('gbm'), 'kriging' and inverse
                        distance weighted ('IDW').
glmcv                   Cross validation, n-fold and leave-one-out for
                        generalised linear models ('glm')
glmidwcv                Cross validation, n-fold and leave-one-out for
                        the hybrid method of generalised linear models
                        ('glm') and inverse distance weighted ('IDW')
                        ('glmidw')
glmidwpred              Generate spatial predictions using the hybrid
                        method of generalised linear models ('glm') and
                        inverse distance weighted ('IDW') ('glmidw')
glmkrigecv              Cross validation, n-fold and leave-one-out for
                        the hybrid method of generalised linear models
                        ('glm') and 'krige' ('glmkrige')
glmkrigeidwcv           Cross validation, n-fold and leave-one-out for
                        the hybrid methods of generalised linear models
                        ('glm'), 'kriging' and inverse distance
                        weighted ('IDW').
glmkrigeidwpred         Generate spatial predictions using the hybrid
                        methods of generalised linear models ('glm'),
                        'kriging' and inverse distance weighted
                        ('IDW').
glmkrigepred            Generate spatial predictions using the hybrid
                        method of generalised linear models ('glm') and
                        'krige'
glmnetcv                Cross validation, n-fold and leave-one-out, for
                        'glmnet' in 'glmnet' package
glmpred                 Generate spatial predictions using generalised
                        linear models ('glm')
glscv                   Cross validation, n-fold and leave-one-out for
                        generalized least squares ('gls')
glsidwcv                Cross validation, n-fold and leave-one-out for
                        the hybrid method of generalized least squares
                        ('gls') and inverse distance weighted ('idw')
                        (glsidw)
glsidwpred              Generate spatial predictions using the hybrid
                        method of generalized least squares ('gls') and
                        inverse distance weighted ('IDW') ('glsidw')
glskrigecv              Cross validation, n-fold and leave-one-out for
                        the hybrid method of generalized least squares
                        ('gls') and kriging ('krige') ('glskrige')
glskrigeidwcv           Cross validation, n-fold and leave-one-out for
                        the hybrid methods of generalised least squares
                        ('gls'), 'kriging' and inverse distance
                        weighted ('IDW')
glskrigeidwpred         Generate spatial predictions using the hybrid
                        methods of generalised least squares ('gls'),
                        'kriging' and inverse distance weighted ('IDW')
glskrigepred            Generate spatial predictions using the hybrid
                        method of generalized least squares ('gls') and
                        kriging ('krige') ('glskrige')
glspred                 Generate spatial predictions using generalized
                        least squares ('gls')
krigecv                 Cross validation, n-fold and leave-one-out for
                        kriging methods ('krige')
krigepred               Generate spatial predictions using kriging
                        methods ('krige')
rfkrigeidwcv            Cross validation, n-fold and leave-one-out for
                        the hybrid methods of 'random forest' ('RF'),
                        'kriging' and inverse distance weighted ('IDW')
rfkrigeidwpred          Generate spatial predictions using the hybrid
                        methods of 'random forest' ('RF'), 'kriging'
                        and inverse distance weighted ('IDW').
sponge2                 A dataset of sponge species richness in the
                        Timor Sea region, northern Australia marine
                        margin
spongelonglat           A dataset of sponge species richness in the
                        Timor Sea region, northern Australia marine
                        margin
svmcv                   Cross validation, n-fold and leave-one-out for
                        support vector machine ('svm')
svmidwcv                Cross validation, n-fold and leave-one-out for
                        the hybrid method of support vector machine
                        ('svm') regression and inverse distance
                        weighted ('IDW') (svmidw)
svmidwpred              Generate spatial predictions using the hybrid
                        method of support vector machine ('svm')
                        regression and inverse distance weighted
                        ('IDW') ('svmidw')
svmkrigecv              Cross validation, n-fold and leave-one-out for
                        the hybrid method of support vector machine
                        ('svm') regression and 'krige' (svmkrige)
svmkrigeidwcv           Cross validation, n-fold and leave-one-out for
                        the hybrid methods of support vector machine
                        ('svm') regression , 'kriging' and inverse
                        distance weighted ('IDW').
svmkrigeidwpred         Generate spatial predictions using the hybrid
                        methods of support vector machine ('svm')
                        regression , 'kriging' and inverse distance
                        weighted ('IDW').
svmkrigepred            Generate spatial predictions using the hybrid
                        method of support vector machine ('svm')
                        regression and 'krige' (svmkrige)
svmpred                 Generate spatial predictions using support
                        vector machine ('svm')
tpscv                   Cross validation, n-fold and leave-one-out for
                        thin plate splines ('TPS')
