rnorm.hsmm: Random number generation from a normally distributed emission...
In mhsmm: Inference for Hidden Markov and Semi-Markov Models
View source: R/spec_functions.R
rnorm.hsmm R Documentation
Random number generation from a normally distributed emission distribution
Description
This generates values from a normally distributed emission state j given parameters in model.
Usage
rnorm.hsmm(j, model)
Arguments
j
An integer representing the state
model
A hmmspec or hsmmspec object
Details
This is essentially a wrapper for rnorm. Users may build functions with the same
arguments and return values so they can use their own custom emission distributions.
Value
A single value from the emission distribution.
Author(s)
Jared O'Connell jaredoconnell@gmail.com
mhsmm documentation built on Aug. 23, 2023, 9:06 a.m.
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View source: R/spec_functions.R
| rnorm.hsmm | R Documentation |
Random number generation from a normally distributed emission distribution
Description
This generates values from a normally distributed emission state j given parameters in model.
Usage
rnorm.hsmm(j, model)
Arguments
j |
An integer representing the state |
model |
A |
Details
This is essentially a wrapper for rnorm. Users may build functions with the same
arguments and return values so they can use their own custom emission distributions.
Value
A single value from the emission distribution.
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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