get_MAP_internal: Internal function to find the maximum a posteriori (MAP)...
In bayesmove: Non-Parametric Bayesian Analyses of Animal Movement
Description
Usage
Arguments
Value
View source: R/segmentation_helper_functions.R
Description
Internal function to be used by a wrapper.
Usage
1
get_MAP_internal(dat, nburn)
Arguments
dat
numeric. A vector of log marginal likelihood values for a given
animal ID.
nburn
numeric. The size of the burn-in phase after which the MAP
estimate will be identified.
Value
A numeric value indicating the iteration after the burn-in phase that
holds the MAP estimate.
bayesmove documentation built on Oct. 22, 2021, 9:08 a.m.
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Description Usage Arguments Value
View source: R/segmentation_helper_functions.R
Description
Internal function to be used by a wrapper.
Usage
1 | get_MAP_internal(dat, nburn)
|
Arguments
dat |
numeric. A vector of log marginal likelihood values for a given animal ID. |
nburn |
numeric. The size of the burn-in phase after which the MAP estimate will be identified. |
Value
A numeric value indicating the iteration after the burn-in phase that holds the MAP estimate.
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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