ULUstateSample.mpfr: Hidden State Sampler with precision
In NetworkChange: Bayesian Package for Network Changepoint Analysis
View source: R/ULUstateSample.r
ULUstateSample.mpfr R Documentation
Hidden State Sampler with precision
Description
Sample hidden states from hidden Markov multilinear model with precision using Rmpfr package.
Uses vectorized operations for improved performance.
Usage
ULUstateSample.mpfr(m, s, ZMUt, s2, P, SOS.random)
Arguments
m
The number of break
s
Latent state vector
ZMUt
Z - MU
s2
error variance
P
Transition matrix
SOS.random
single observation state random perturbation
Value
A list of a state vector, state probabilities, and SOS.random.
NetworkChange documentation built on Jan. 21, 2026, 9:08 a.m.
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View source: R/ULUstateSample.r
| ULUstateSample.mpfr | R Documentation |
Hidden State Sampler with precision
Description
Sample hidden states from hidden Markov multilinear model with precision using Rmpfr package. Uses vectorized operations for improved performance.
Usage
ULUstateSample.mpfr(m, s, ZMUt, s2, P, SOS.random)
Arguments
m |
The number of break |
s |
Latent state vector |
ZMUt |
Z - MU |
s2 |
error variance |
P |
Transition matrix |
SOS.random |
single observation state random perturbation |
Value
A list of a state vector, state probabilities, and SOS.random.
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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