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modEvA (version 3.0)

Model Evaluation and Analysis

Description

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.

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Version

Install

install.packages('modEvA')

Monthly Downloads

1,808

Version

3.0

License

GPL-3

Maintainer

A. Barbosa

Last Published

December 20th, 2021

Functions in modEvA (3.0)

Overlap Analysis

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

Multivariate Environmental Similarity Surfaces based on a data frame

Miller's calibration satistics for logistic regression models

Label predictions according to their confusion matrix category

Hosmer-Lemeshow goodness of fit

R-squared measures for GLMs

Area Under the Curve

Proportion of deviance explained by a GLM

Model Evaluation and Analysis

Extract observed and predicted values from a model object.

Get model equation

Multiple model evaluation

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

Get bins of continuous values.

Evenness in a binary vector.

Threshold-based measures of model evaluation

Optimize threshold for model evaluation.

Plot a generalized linear model

Variation partitioning

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

Plot predicted values for presences and absences, classified according to a prediction threshold.

Methods implemented in modEvA functions

Plot the density of predicted values for presences and absences.

Standardize to 0-1 (or vice-versa)

Rotifer distribution models