toydata_selevs: Selected explanatory variables accompanied by selection...
In MIAmaxent: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
Description
Usage
Format
Source
References
Description
Selected explanatory variables and tables showing forward model selection of
explanatory variables for distribution modeling of a small, synthetic data
set used in Halvorsen (2013). Each individual explanatory variable is
represented by a group of derived variables.
Usage
1
Format
List with 3 elements:
A list of 3, with the
response variable followed by data frames, represent selected explanatory
variables.
A trail of forward model selection used to select
explanatory variables and interaction terms.
The selected model
Source
Produced from toydata_seldvs using
selectEV.
References
Halvorsen, R. (2013) A strict maximum likelihood explanation of
MaxEnt, and some implications for distribution modelling. Sommerfeltia, 36,
1-132.
MIAmaxent documentation built on Dec. 1, 2020, 5:08 p.m.
R Package Documentation
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Description Usage Format Source References
Description
Selected explanatory variables and tables showing forward model selection of explanatory variables for distribution modeling of a small, synthetic data set used in Halvorsen (2013). Each individual explanatory variable is represented by a group of derived variables.
Usage
1 |
Format
List with 3 elements:
A list of 3, with the response variable followed by data frames, represent selected explanatory variables.
A trail of forward model selection used to select explanatory variables and interaction terms.
The selected model
Source
Produced from toydata_seldvs using
selectEV.
References
Halvorsen, R. (2013) A strict maximum likelihood explanation of MaxEnt, and some implications for distribution modelling. Sommerfeltia, 36, 1-132.
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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