Model Evaluation and Analysis

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Documentation for package ‘modEvA’ version 3.5

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modEvA-package Model Evaluation and Analysis
applyThreshold Apply a threshold to model predictions
arrangePlots Arrange plots
AUC Area Under the Curve
Boyce Boyce Index
confusionLabel Label predictions according to their confusion matrix category
Dsquared Proportion of deviance explained by a GLM
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
HLfit Hosmer-Lemeshow goodness of fit
inputMunch Munch inputs into 'obs' and 'pred' vectors
MESS Multivariate Environmental Similarity Surfaces based on a data frame
MillerCalib Miller's calibration satistics for logistic regression models
mod2obspred Extract observed and predicted values from a model object.
modEvA Model Evaluation and Analysis
modEvAmethods Methods implemented in modEvA functions
multModEv Multiple model evaluation
OA Overlap Analysis
optiPair Optimize the classification threshold for a pair of related model evaluation measures.
optiThresh Optimize threshold for model evaluation.
plotGLM Plot a generalized linear model
predDensity Plot the density of predicted values for presences and absences.
predPlot Plot predicted values for presences and absences, classified according to a prediction threshold.
prevalence Prevalence
ptsrast2obspred Observed and predicted values from presence points and a raster map.
range01 Shrink or stretch a vector to make it range between 0 and 1
rotif.mods Rotifer distribution models
RsqGLM R-squared measures for GLMs
standard01 Standardize to 0-1 (or vice-versa)
threshMeasures Threshold-based measures of model evaluation
varPart Variation partitioning