example_gaussian_stan_model: Construct an example BridgeStan 'StanModel' object for a...
In rmcmc: Robust Markov Chain Monte Carlo Methods
example_gaussian_stan_model R Documentation
Construct an example BridgeStan StanModel object for a Gaussian model.
Description
Requires BridgeStan package to be installed. Generative model is assumed to
be of the form y ~ normal(mu, sigma) for unknown mu ~ normal(0, 3) and
sigma ~ half_normal(0, 3).
Usage
example_gaussian_stan_model(n_data = 50, seed = 1234L)
Arguments
n_data
Number of independent data points y to generate and condition
model against from normal(0, 1).
seed
Integer seed for Stan model.
Value
BridgeStan StanModel object.
Examples
model <- example_gaussian_stan_model(n_data = 5)
model$param_names()
rmcmc documentation built on April 3, 2025, 5:27 p.m.
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| example_gaussian_stan_model | R Documentation |
Construct an example BridgeStan StanModel object for a Gaussian model.
Description
Requires BridgeStan package to be installed. Generative model is assumed to
be of the form y ~ normal(mu, sigma) for unknown mu ~ normal(0, 3) and
sigma ~ half_normal(0, 3).
Usage
example_gaussian_stan_model(n_data = 50, seed = 1234L)
Arguments
n_data |
Number of independent data points |
seed |
Integer seed for Stan model. |
Value
BridgeStan StanModel object.
Examples
model <- example_gaussian_stan_model(n_data = 5)
model$param_names()
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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