ICtab: Compute table of information criteria and auxiliary info
In sads: Maximum Likelihood Models for Species Abundance Distributions
ICtab R Documentation
Compute table of information criteria and auxiliary info
Description
This functions reimplement some functionality from package bbmle
to work better with objects from the classes fitsad-class
and fitrad-class.
Methods
- AIC
signature("mle2"): Akaike information criterion.
- AICc
signature("mle2"): Akaike information
criterion corrected for small samples.
- nobs
signature(object = "fitsad"): Number of observations.
- nobs
signature(object = "fitrad"): Number of observations.
Author(s)
Paulo I Prado prado@ib.usp.br, Andre Chalom and Murilo Dantas Miranda,
after Ben Bolker and R Core Team.
See Also
mle2-class for all methods available from which
fitsad-class inherits; fitsad for details on
fitting SADs models.
sads documentation built on June 22, 2024, 12:18 p.m.
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| ICtab | R Documentation |
Compute table of information criteria and auxiliary info
Description
This functions reimplement some functionality from package bbmle
to work better with objects from the classes fitsad-class
and fitrad-class.
Methods
- AIC
signature("mle2"): Akaike information criterion.- AICc
signature("mle2"): Akaike information criterion corrected for small samples.- nobs
signature(object = "fitsad"): Number of observations.- nobs
signature(object = "fitrad"): Number of observations.
Author(s)
Paulo I Prado prado@ib.usp.br, Andre Chalom and Murilo Dantas Miranda, after Ben Bolker and R Core Team.
See Also
mle2-class for all methods available from which
fitsad-class inherits; fitsad for details on
fitting SADs models.
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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