RandomForest: Model module: RandomForest
In zoonproject/modules: Species Distribution Modelling Code Modules for the ZOON Package
Description
Usage
Arguments
Value
Version
Date submitted
Data type
Author(s)
See Also
Description
Model module to fit a simple RandomForest classification model
Usage
1
RandomForest(.df)
Arguments
.df
Internal parameter, do not use in the workflow function. .df is data frame that combines the occurrence data and covariate data. .df is passed automatically in workflow from the process module(s) to the model module(s) and should not be passed by the user.
Value
A model object with a valid predict method
Version
1.1
Date submitted
2015-11-13
Data type
presence/absence, presence/background
Author(s)
ZOON Developers, zoonproject@gmail.com
See Also
Other model: BiomodModel,
Domain, GBM,
LogisticRegression,
MachineLearn, MaxEnt,
MaxLike, MaxNet,
MyMaxLike, NullModel,
OptGRaF, QuickGRaF,
StochasticLogisticRegression,
mgcv
zoonproject/modules documentation built on May 4, 2019, 11:25 p.m.
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Description Usage Arguments Value Version Date submitted Data type Author(s) See Also
Description
Model module to fit a simple RandomForest classification model
Usage
1 | RandomForest(.df)
|
Arguments
.df |
Internal parameter, do not use in the workflow function. |
Value
A model object with a valid predict method
Version
1.1
Date submitted
2015-11-13
Data type
presence/absence, presence/background
Author(s)
ZOON Developers, zoonproject@gmail.com
See Also
Other model: BiomodModel,
Domain, GBM,
LogisticRegression,
MachineLearn, MaxEnt,
MaxLike, MaxNet,
MyMaxLike, NullModel,
OptGRaF, QuickGRaF,
StochasticLogisticRegression,
mgcv
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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