biogeme_prior: Declare a native Bayesian prior
In rbiogeme: Interface to 'Biogeme'
biogeme_prior R Documentation
Declare a native Bayesian prior
Description
Creates a data-only prior descriptor. The Python bridge compiles it into a
native PyMC prior before estimation; R callbacks are not used by the sampler.
Usage
biogeme_prior(distribution = c("normal", "student_t"), sigma = 5, nu = 5)
Arguments
distribution
Prior distribution: "normal" or "student_t".
sigma
Positive scale parameter.
nu
Positive degrees of freedom for a Student-t prior.
Value
A declarative biogeme_prior object.
rbiogeme documentation built on Sept. 29, 2026, 5:09 p.m.
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| biogeme_prior | R Documentation |
Declare a native Bayesian prior
Description
Creates a data-only prior descriptor. The Python bridge compiles it into a native PyMC prior before estimation; R callbacks are not used by the sampler.
Usage
biogeme_prior(distribution = c("normal", "student_t"), sigma = 5, nu = 5)
Arguments
distribution |
Prior distribution: |
sigma |
Positive scale parameter. |
nu |
Positive degrees of freedom for a Student-t prior. |
Value
A declarative biogeme_prior object.
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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