LoadModels: Loading models produced by BIOMOD
In BIOMOD: Ensemble platform for species distribution modeling

Description Usage Arguments Details Author(s) See Also Examples

The function will load all the models wanted from the hardrive to R's memory for any usage.

1	LoadModels(Sp=1, PA='all', rep='all', models='all')

`Sp`	a vector giving the species for which you want the models to be loaded. Numbers are wanted, not names. Typing 'all' selects all the species modelled.
`PA`	a vector giving the PA runs for which you want the models to be loaded. Typing 'all' selects all the pseudo-absences runs.
`rep`	a vector giving the repetitions for which you want the models to be loaded. Typing 'all' selects all the repetition runs.
`models`	a vector giving the models for which you want the models to be loaded. names are wanted. Typing 'all' selects all the models available.

rep : '1' is the 100% model and '2' the first repetitions

BEWARE : storing the models outside of R is made to avoid overloading of the memory. Loading back a lot of models will tend towards saturation, and an exceeding number will crash R, or make it unable to run properly.

Wilfried Thuiller, Bruno Lafourcade

Models, help

## Not run: 
data(Sp.Env)
data(CoorXY)

#This command is necessary for the run of BIOMOD as a new dataframe is produced for the Models function
Initial.State(Response=Sp.Env[,11:12], Explanatory=Sp.Env[,4:10], 
IndependentResponse=NULL, IndependentExplanatory=NULL)

#Here are done 0 PA runs and 1 repetitions for each run. This will hence take several minutes.
Models(CTA = TRUE, CV.tree = 5, RF = TRUE, CV.ann = 2, 
   NbRunEval = 1, DataSplit = 80, Roc=TRUE, Optimized.Threshold.Roc=TRUE, Kappa=TRUE, TSS=TRUE, VarImport=5,
   NbRepPA=0, strategy="circles", coor=CoorXY, distance=2, nb.absences=1000)

LoadModels(Sp=1)

LoadModels(Sp=2, models=c("CTA", "RF"))

LoadModels(Sp='all')

## End(Not run)