toydata_dvs: Derived variables and transformation functions, from toy...
In julienvollering/MIAmaxent: A Modular, Integrated Approach to Maximum Entropy Distribution Modeling
toydata_dvs R Documentation
Derived variables and transformation functions, from toy data.
Description
Derived variables and transformation functions for distribution modeling of a
small, synthetic data set used in Halvorsen (2013).
Usage
toydata_dvs
Format
List with 2 elements:
A list of 5, with the response
variable followed by data frames each containing the derived variables
produced for a given explanatory variable.
A list of the response
variable and all the transformation functions used to produce the derived
variables.
Source
Produced from toydata_sp1po using
deriveVars.
References
Halvorsen, R. (2013) A strict maximum likelihood explanation of
MaxEnt, and some implications for distribution modelling. Sommerfeltia, 36,
1-132.
julienvollering/MIAmaxent documentation built on July 6, 2023, 11:22 p.m.
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| toydata_dvs | R Documentation |
Derived variables and transformation functions, from toy data.
Description
Derived variables and transformation functions for distribution modeling of a small, synthetic data set used in Halvorsen (2013).
Usage
toydata_dvs
Format
List with 2 elements:
A list of 5, with the response variable followed by data frames each containing the derived variables produced for a given explanatory variable.
A list of the response variable and all the transformation functions used to produce the derived variables.
Source
Produced from toydata_sp1po using
deriveVars.
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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