mmds.gof: Goodness of fit for mixture model detection functions
In mmds: Mixture Model Distance Sampling (mmds)
Description
Goodness of fit testing for detection for mixture model
detection functions.
Details
Two goodness of fit tests are provided: the Cramer-von
Mises and the Kolmogorov-Smirnov. Both are implemented as
in Buckland et al. (2004).
Print methods are provided, so accessing the ks
and cvm elements of a ds.mixture
object will give suitable summaries.
David L. Miller
mmds documentation built on May 2, 2019, 8:55 a.m.
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Description
Goodness of fit testing for detection for mixture model detection functions.
Details
Two goodness of fit tests are provided: the Cramer-von Mises and the Kolmogorov-Smirnov. Both are implemented as in Buckland et al. (2004).
Print methods are provided, so accessing the ks
and cvm elements of a ds.mixture
object will give suitable summaries.
David L. Miller
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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