FB: The forward-backward algorithm
In csgillespie/HMMs: Hidden Markov models to analyse protein sequences
Description
Usage
Arguments
Value
Description
The forward–backward algorithm
Usage
1
FB(y, lambda, P)
Arguments
y
data from hmm_fasta object
lambda
hidden sequence transition matrix
P
array of transition matrices for observed
sequence
Value
s
segmentation
xi
normalising constant
back
backwards probabilities
csgillespie/HMMs documentation built on May 14, 2019, 12:11 p.m.
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Description Usage Arguments Value
Description
The forward–backward algorithm
Usage
1 | FB(y, lambda, P)
|
Arguments
y |
data from hmm_fasta object |
lambda |
hidden sequence transition matrix |
P |
array of transition matrices for observed sequence |
Value
s |
segmentation |
xi |
normalising constant |
back |
backwards probabilities |
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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