hmm.sim: Simulates a hidden Markov model
In csgillespie/HMMs: Hidden Markov models to analyse protein sequences
Description
Usage
Arguments
Value
Author(s)
Description
Simulates a hidden Markov model
Usage
1
hmm.sim(n, lambda, P, f)
Arguments
n
Length of the observed sequence
lambda
The hidden sequence transition matrix
P
An array of transition matrices for observed
sequence
f
The number of states of observed sequence
Value
A list
Author(s)
Nina Wilkinson
csgillespie/HMMs documentation built on May 14, 2019, 12:11 p.m.
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Description Usage Arguments Value Author(s)
Description
Simulates a hidden Markov model
Usage
1 | hmm.sim(n, lambda, P, f)
|
Arguments
n |
Length of the observed sequence |
lambda |
The hidden sequence transition matrix |
P |
An array of transition matrices for observed sequence |
f |
The number of states of observed sequence |
Value
A list
Author(s)
Nina Wilkinson
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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