normal: Define a normal prior distribution
In bayesforecast: Bayesian Time Series Modeling with Stan
normal R Documentation
Define a normal prior distribution
Description
normal(mu,sd)
Usage
normal(mu = 0, sd = 1)
Arguments
mu
the location parameter mu
sd
the standard deviation parameter sigma
Details
Define a normal prior distribution using the hyper parameters
mu and sigma, by default a standard normal distribution is
return.
Value
a numerical vector interpreted as a prior in Stan
bayesforecast documentation built on June 8, 2025, 10:42 a.m.
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| normal | R Documentation |
Define a normal prior distribution
Description
normal(mu,sd)
Usage
normal(mu = 0, sd = 1)
Arguments
mu |
the location parameter mu |
sd |
the standard deviation parameter sigma |
Details
Define a normal prior distribution using the hyper parameters mu and sigma, by default a standard normal distribution is return.
Value
a numerical vector interpreted as a prior in Stan
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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