data_generation: Simulation data generation
In ananjysong/HMMdmdv: Hidden Markov Model for Bayesian inference of large-scale mean and variance testing
Description
Usage
Arguments
Value
Description
Generate data for simulations
Usage
1
data_generation(nu0, var0, k0, mu0, n, n1, n2, initProb, transProb)
Arguments
nu0
Hyperparameter nu0.
var0
Hyperparameter var0.
k0
Hyperparameter k0.
mu0
Hyperparameter mu0.
n1
Hyperparameter n1.
n2
Hyperparameter n2.
initProb
Initial state probabilities.
transProb
Transition probability matrix.
Value
The generated data and the true hidden states.
ananjysong/HMMdmdv documentation built on May 13, 2019, 5:33 p.m.
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Description Usage Arguments Value
Description
Generate data for simulations
Usage
1 | data_generation(nu0, var0, k0, mu0, n, n1, n2, initProb, transProb)
|
Arguments
nu0 |
Hyperparameter nu0. |
var0 |
Hyperparameter var0. |
k0 |
Hyperparameter k0. |
mu0 |
Hyperparameter mu0. |
n1 |
Hyperparameter n1. |
n2 |
Hyperparameter n2. |
initProb |
Initial state probabilities. |
transProb |
Transition probability matrix. |
Value
The generated data and the true hidden states.
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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