AUC                     Area Under the Curve
Boyce                   Boyce Index
Dsquared                Explained deviance
HLfit                   Hosmer-Lemeshow goodness of fit
MESS                    Multivariate Environmental Similarity Surfaces
                        based on a data frame
MillerCalib             Miller's calibration satistics for logistic
                        regression models
OA                      Overlap Analysis
RMSE                    Root mean square error
RsqGLM                  R-squared measures for GLMs
applyThreshold          Apply threshold(s) to model predictions
arrangePlots            Arrange plots
confusionLabel          Label predictions according to their confusion
                        matrix category
confusionMatrix         Confusion matrix
errorMeasures           Measures of model prediction error.
evaluate                Evaluate a model based on the elements of a
                        confusion matrix.
evenness                Evenness in a binary vector.
getBins                 Get bins of continuous values.
getModEqn               Get model equation
getThreshold            Prediction threshold for a given criterion
inputMunch              Munch inputs into 'obs' and 'pred' vectors
logLike                 Log-likelihood
lollipop                Lollipop chart
mod2obspred             Extract observed and predicted, or predictor,
                        values from a model object.
modEvA-package          Model Evaluation and Analysis
modEvAmethods           Methods implemented in modEvA functions
multModEv               Multiple model evaluation
optiPair                Optimize the classification threshold for a
                        pair of related model evaluation measures.
optiThresh              Optimize threshold for model evaluation.
plotCoeffs              Plot model coefficients with confidence
                        intervals
plotGLM                 Plot a generalized linear model
predDensity             Plot the density of predicted or predictor
                        values for presences and absences (or
                        background)
predPlot                Plot predicted values for presences and
                        absences, optionally classified according to a
                        prediction threshold.
prevalence              Prevalence
pseudoRsq               Pseudo-R-squared measures for binary-response
                        models
ptsrast2obspred         Observed and predicted values from presence
                        points and a raster map.
quantReclass            Reclassify continuous values based on quantiles
range01                 Shrink or stretch a vector to make it range
                        between 0 and 1
rotif.mods              Rotifer distribution models
similarity              Similarity measures
standard01              Standardize to 0-1 (or vice-versa)
threshMeasures          Threshold-based measures of model evaluation
varImp                  Variable importance.
varPart                 Variation partitioning
