bw_HMM: Baum-Welch Algorithm for HMM
In jcorrett/stats230.Rpackage: STATS230 R Functions
bw_HMM R Documentation
Baum-Welch Algorithm for HMM
Description
Baum-Welch Algorithm for HMM
Usage
bw_HMM(P, E, v, y, s, ymax, tol)
Arguments
P
A transition prob matrix initial guess
E
An emission probability matrix initial guess
v
An initial state distribution initial guess
y
vector of observed states
s
dim of hidden state space
ymax
dim of observed state space
tol
non-negative convergence criteria
jcorrett/stats230.Rpackage documentation built on March 21, 2022, 5:36 a.m.
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| bw_HMM | R Documentation |
Baum-Welch Algorithm for HMM
Description
Baum-Welch Algorithm for HMM
Usage
bw_HMM(P, E, v, y, s, ymax, tol)
Arguments
P |
A transition prob matrix initial guess |
E |
An emission probability matrix initial guess |
v |
An initial state distribution initial guess |
y |
vector of observed states |
s |
dim of hidden state space |
ymax |
dim of observed state space |
tol |
non-negative convergence criteria |
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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