dnorm.hsmm: Emission density function for normal emission distribution
In jaredo/mhsmm: Inference for Hidden Markov and Semi-Markov Models
Description
Usage
Arguments
Details
Value
Author(s)
View source: R/spec_functions.R
Description
Calculates the density of observations x for state j given the parameters in model. This is used for
the Gaussian emission distribution of a HMM or HSMM and is a suitable prototype for user's to make their own custom distributions.
Usage
1
dnorm.hsmm(x, j, model)
Arguments
x
Observed value
j
State
model
A hsmmspec or hmmspec object
Details
This is used by hmm and hsmm to calculate densities for use in the E-step of the EM algorithm.
It can also be used as a template for users wishing to building their own emission distributions
Value
A vector of probability densities.
Author(s)
Jared O'Connell jaredoconnell@gmail.com
jaredo/mhsmm documentation built on Dec. 6, 2019, 11:07 a.m.
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Description Usage Arguments Details Value Author(s)
View source: R/spec_functions.R
Description
Calculates the density of observations x for state j given the parameters in model. This is used for
the Gaussian emission distribution of a HMM or HSMM and is a suitable prototype for user's to make their own custom distributions.
Usage
1 | dnorm.hsmm(x, j, model)
|
Arguments
x |
Observed value |
j |
State |
model |
A |
Details
This is used by hmm and hsmm to calculate densities for use in the E-step of the EM algorithm.
It can also be used as a template for users wishing to building their own emission distributions
Value
A vector of probability densities.
Author(s)
Jared O'Connell jaredoconnell@gmail.com
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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