logLik.dsmodel: log-likelihood value for a fitted detection function
In Distance: Distance Sampling Detection Function and Abundance Estimation
Description
Usage
Arguments
Value
Author(s)
View source: R/logLik.dsmodel.R
Description
Extract the log-likelihood from a fitted detection function.
Usage
1
2
Arguments
object
a fitted detection function model object
...
included for S3 completeness, but ignored
Value
a numeric value giving the log-likelihood with two attributes: "df" the "degrees of freedom" for the model (number of parameters) and "nobs" the number of observations used to fit the model
Author(s)
David L Miller
Distance documentation built on July 4, 2017, 9:29 a.m.
R Package Documentation
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Description Usage Arguments Value Author(s)
View source: R/logLik.dsmodel.R
Description
Extract the log-likelihood from a fitted detection function.
Usage
1 2 |
Arguments
object |
a fitted detection function model object |
... |
included for S3 completeness, but ignored |
Value
a numeric value giving the log-likelihood with two attributes: "df" the "degrees of freedom" for the model (number of parameters) and "nobs" the number of observations used to fit the model
Author(s)
David L Miller
Distance documentation built on July 4, 2017, 9:29 a.m.
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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