initMix: Initial Parameters
In SWotherspoon/MVNSeq: Normal Mixture and Hidden Markov Models
initMix R Documentation
Initial Parameters
Description
Initial parameter estimates for HMM and mixture models.
Usage
initMix(y, cl, K = max(cl))
initHMM(y, cl, K = max(cl))
Arguments
y
the sequence of observations
cl
an integer vector allocating observations to classes
K
the number of classes
Details
Given a sequence of observations and a vector of initial class
allocations, estimate the parameters for a mixture or hidden
Markov model.
Value
parsMixClass returns a list with elements
SWotherspoon/MVNSeq documentation built on June 1, 2022, 10:49 p.m.
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| initMix | R Documentation |
Initial Parameters
Description
Initial parameter estimates for HMM and mixture models.
Usage
initMix(y, cl, K = max(cl)) initHMM(y, cl, K = max(cl))
Arguments
y |
the sequence of observations |
cl |
an integer vector allocating observations to classes |
K |
the number of classes |
Details
Given a sequence of observations and a vector of initial class allocations, estimate the parameters for a mixture or hidden Markov model.
Value
parsMixClass returns a list with elements
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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