log_prior: Priors

Description Usage Arguments Value Author(s) References

Description

Functions designed to be plugged in as log_prior to make.adeba.

Usage

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Arguments

parameters

A data frame containing alpha and beta values, alpha.range that specifies sampling density, and log.likelihood that contains the unnormalized log likelihood for each (alpha, beta) pair.

Value

A vector of log prior values.

Author(s)

Christofer B<c3><a4>cklin

References

A demo explaining how empirical_gaussian_log_prior was implemented can be found in this Rmarkdown notebook.


adeba documentation built on May 2, 2019, 3:21 a.m.

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