R: Species Distribution Model Selection

# Species Distribution Model Selection

## Documentation for package ‘SDMtune’ version 1.3.3

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

addSamplesToBg | Add Samples to Background
aicc | AICc
ANN | Artificial Neural Network
ANN-class | Artificial Neural Network
auc | AUC
BRT | Boosted Regression Tree
BRT-class | Boosted Regression Tree
checkMaxentInstallation | Check Maxent Installation
combineCV | Combine Cross Validation models
confMatrix | Confusion Matrix
corVar | Print Correlated Variables
doJk | Jackknife Test
getTunableArgs | Get Tunable Arguments
gridSearch | Grid Search
Maxent | Maxent
Maxent-class | Maxent
maxentTh | MaxEnt Thresholds
maxentVarImp | Maxent Variable Importance
Maxnet | Maxnet
Maxnet-class | Maxnet
mergeSWD | Merge SWD Objects
modelReport | Model Report
optimizeModel | Optimize Model
plot-method | SDMtune class
plotCor | Plot Correlation
plotJk | Plot Jackknife Test
plotPA | Plot Presence Absence Map
plotPred | Plot Prediction
plotResponse | Plot Response Curve
plotROC | Plot ROC curve
plotVarImp | Plot Variable Importance
predict-method | Predict ANN
predict-method | Predict BRT
predict-method | Predict Maxent
predict-method | Predict Maxnet
predict-method | Predict RF
predict-method | Predict
predict-method | Predict for Cross Validation
prepareSWD | Prepare an SWD object
randomFolds | Create Random Folds
randomSearch | Random Search
reduceVar | Reduce Variables
RF | Random Forest
RF-class | Random Forest
SDMmodel | SDMmodel
SDMmodel-class | SDMmodel
SDMmodel2MaxEnt | SDMmodel2MaxEnt
SDMmodelCV | SDMmodelCV
SDMmodelCV-class | SDMmodelCV
SDMtune | SDMtune class
SDMtune-class | SDMtune class
show-method | Artificial Neural Network
show-method | Boosted Regression Tree
show-method | Maxent
show-method | Maxnet
show-method | Random Forest
show-method | SDMmodel
show-method | SDMmodelCV
show-method | SDMtune class
show-method | Sample With Data
SWD | Sample With Data
SWD-class | Sample With Data
swd2csv | SWD to csv
thinData | Thin Data
thresholds | Thresholds
train | Train
trainValTest | Train, Validation and Test datasets
tss | True Skill Statistics
varImp | Variable Importance
varSel | Variable Selection
virtualSp | Virtual Species