chooseseg_lavielle: Internal Function for choosing optimal number of segment
In segclust2d: Bivariate Segmentation/Clustering Methods and Tools
chooseseg_lavielle R Documentation
Internal Function for choosing optimal number of segment
Description
Choosing optimal number of segment using Marc Lavielle's method. From Emilie
Lebarbier. Method based on identifying breaks in the slope of the contrast.
Usage
chooseseg_lavielle(J, S = 0.75, ...)
Arguments
J
likelihood for each number of segment
S
threshold for choosing the number of segment. See
adehabitatLT::chooseseg
...
additional arguments
Value
a list with optimal number of segment and full data.frame of the
calculus
segclust2d documentation built on May 29, 2024, 6:41 a.m.
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| chooseseg_lavielle | R Documentation |
Internal Function for choosing optimal number of segment
Description
Choosing optimal number of segment using Marc Lavielle's method. From Emilie Lebarbier. Method based on identifying breaks in the slope of the contrast.
Usage
chooseseg_lavielle(J, S = 0.75, ...)
Arguments
J |
likelihood for each number of segment |
S |
threshold for choosing the number of segment. See adehabitatLT::chooseseg |
... |
additional arguments |
Value
a list with optimal number of segment and full data.frame of the calculus
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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