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.
|Author||Barbosa A.M., Brown J.A., Jimenez-Valverde A., Real R.|
|Date of publication||2016-07-15 10:38:46|
|Maintainer||A. Marcia Barbosa <firstname.lastname@example.org>|
arrangePlots: Arrange plots
AUC: Area Under the ROC Curve
Dsquared: Proportion of deviance explained by a GLM
evaluate: Evaluate a GLM based on the elements of a confusion matrix.
evenness: Evenness in a binary vector.
getBins: Get bins of continuous values.
getModEqn: Get model equation
HLfit: Hosmer-Lemeshow goodness of fit
MESS: Multivariate Environmental Similarity Surfaces based on a...
MillerCalib: Miller's calibration satistics for logistic regression models
modEvAmethods: Methods implemented in modEvA functions
modEvA-package: Model Evaluation and Analysis
multModEv: Multiple model evaluation
OA: Overlap Analysis
optiPair: Optimize the discrimination threshold for a pair of related...
optiThresh: Optimize threshold for model evaluation.
plotGLM: Plot a generalized linear model
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