Multiple k-fold cross-validation to test for the best combination of covariates, model type and family.
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x |
dataset (dataframe or SpatialPointsDataFrame) prepared with
|
datatype |
The data type to be chosen for modelling among
'PA', 'Density', 'ContPosNull', 'Count', 'TweedGLM', 'KrigeGLM'.
(See |
corSpearman |
dataframe of correlation between covariates as calculated by
function |
saveWD |
directory where to save all outputs of the cross-validation procedure. Folder is created if not exists. Tmp file if not defined. |
zip.file |
Logical or file path where to save all outputs in zip. In tmpdir by default. If FALSE, outputs are not zipped and the path to saveWD is returned. |
restart |
numeric vector. If you stopped the analysis for any reasons, you can restart it at the modeltype step you want. Provide a vector of values, so that all modeltypes with the corresponding positions will be re-calculated. In this procedure, the modelselect_opt.save file saved in saveWD will be loaded. You can unzip your previously saved file and define this unzip folder as saveWD. |
MPIcalc |
Logical. Whether the function is run within a MPI cluster or locally. |
verbose |
Numeric. 0: no message, 1:few messages, 2:all messages |
na.max |
proportion maximum of NA value allowed in one distribution. If proportion of NA is upper na.max, model is ranked at the end and no p-value is calculated |
test |
test used to compare distribution as used by
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