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modEvA

Model Evaluation and Analysis

Analyses species distribution models and evaluates their performance. It includes functions for performing variation partitioning, calculating several measures of model discrimination and calibration, optimizing prediction thresholds based on a number of criteria, performing multivariate environmental similarity surface (MESS) analysis, and displaying various analytical plots.

Functions (25)

AUC

Area Under the Curve

Proportion of deviance explained by a GLM

Hosmer-Lemeshow goodness of fit

MESS

Multivariate Environmental Similarity Surfaces based on a data frame

MillerCalib

Miller's calibration satistics for logistic regression models

Overlap Analysis

R-squared measures for GLMs

arrangePlots

Arrange plots

Evaluate a GLM based on the elements of a confusion matrix.

Evenness in a binary vector.

Get bins of continuous values.

Get model equation

modEvA-package

Model Evaluation and Analysis

modEvAmethods

Methods implemented in modEvA functions

Multiple model evaluation

Optimize the classification threshold for a pair of related model evaluation measures.

Optimize threshold for model evaluation.

Plot a generalized linear model

predDensity

Plot the density of predicted values for presences and absences.

Prevalence

Shrink or stretch a vector to make it range between 0 and 1

Rotifer distribution models

Standardize to 0-1 (or vice-versa)

threshMeasures

Threshold-based measures of model evaluation

Variation partitioning

modEvA

Model Evaluation and Analysis

v2.0

GPL-3

Authors

Barbosa A.M., Brown J.A., Jimenez-Valverde A., Real R.

Initial release

2020-01-21

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