estimate_coef: Estimate Regression Coefficients of Mixture Hidden Markov...
In helske/seqHMM: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series
View source: R/estimate_coef.R
estimate_coef R Documentation
Estimate Regression Coefficients of Mixture Hidden Markov Models
Description
Function estimate_coef estimates the regression coefficients of mixture hidden
Markov models and its restricted variants while keeping other parameters fixed.
Usage
estimate_coef(model, threads = 1)
Arguments
model
An object of class hmm or mhmm.
threads
Number of threads to use in parallel computing. The default is 1.
helske/seqHMM documentation built on July 6, 2023, 6:45 a.m.
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View source: R/estimate_coef.R
| estimate_coef | R Documentation |
Estimate Regression Coefficients of Mixture Hidden Markov Models
Description
Function estimate_coef estimates the regression coefficients of mixture hidden
Markov models and its restricted variants while keeping other parameters fixed.
Usage
estimate_coef(model, threads = 1)
Arguments
model |
An object of class |
threads |
Number of threads to use in parallel computing. The default is 1. |
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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