logAlpha: Forward log-probabilities
In momentuHMM: Maximum Likelihood Analysis of Animal Movement Behavior Using Multivariate Hidden Markov Models
logAlpha R Documentation
Forward log-probabilities
Description
Used in stateProbs and pseudoRes.
Usage
logAlpha(m)
Arguments
m
A momentuHMM, miHMM, or miSum object.
Value
A list of length model$conditions$mixtures where each element is a matrix of forward log-probabilities for each mixture.
Examples
## Not run:
# m is a momentuHMM object (as returned by fitHMM), automatically loaded with the package
m <- example$m
la <- momentuHMM:::logAlpha(m)
## End(Not run)
momentuHMM documentation built on Nov. 25, 2025, 9:07 a.m.
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| logAlpha | R Documentation |
Forward log-probabilities
Description
Used in stateProbs and pseudoRes.
Usage
logAlpha(m)
Arguments
m |
A |
Value
A list of length model$conditions$mixtures where each element is a matrix of forward log-probabilities for each mixture.
Examples
## Not run:
# m is a momentuHMM object (as returned by fitHMM), automatically loaded with the package
m <- example$m
la <- momentuHMM:::logAlpha(m)
## End(Not run)
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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