calculateBinModel.AIC: Calculate AIC of the model, using various log(likelihood)...
In forestgeo/ctfs: Tools for the Analysis of Forest Dynamics
Description
Calculate AIC of the model, using various log(likelihood) estimators.
Usage
1
calculateBinModel.AIC(fit, type = "optim")
Arguments
fit
A fitted model.
type
One of:
-
optim, the highest likelihood found by optim;
-
mean, the mean llikelihood from the Gibbs sampler;
-
gibbs, the maximum llikelihood from the Gibbs sampler;
-
none, just return the mean Gibbs likelihood.
forestgeo/ctfs documentation built on May 3, 2019, 6:44 p.m.
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Description
Calculate AIC of the model, using various log(likelihood) estimators.
Usage
1 | calculateBinModel.AIC(fit, type = "optim")
|
Arguments
fit |
A fitted model. |
type |
One of:
|
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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