norm_hmm_pw2pn: Transform normal working parameters to natural parameters
In longjess/hornsharkHMM: Functions For Analysing Horn Shark Data Using Hidden Markov Models
View source: R/univariate_normal_hmm_functions.R
norm_hmm_pw2pn R Documentation
Transform normal working parameters to natural parameters
Description
Transform normal working parameters to natural parameters
Usage
norm_hmm_pw2pn(m, parvect, stationary = TRUE)
Arguments
m
Number of states
parvect
Vector of working parameters
stationary
Boolean, whether the HMM is stationary or not
Value
List of natural parameters mu, sigma, gamma, delta
longjess/hornsharkHMM documentation built on June 15, 2022, 11:32 p.m.
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View source: R/univariate_normal_hmm_functions.R
| norm_hmm_pw2pn | R Documentation |
Transform normal working parameters to natural parameters
Description
Transform normal working parameters to natural parameters
Usage
norm_hmm_pw2pn(m, parvect, stationary = TRUE)
Arguments
m |
Number of states |
parvect |
Vector of working parameters |
stationary |
Boolean, whether the HMM is stationary or not |
Value
List of natural parameters mu, sigma, gamma, delta
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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