Read and Set Likelihood to the Corresponding Conjugate Prior
Read and set the likelihood distribution corresponding to the conjugate prior distribution.
likelihood(mix) likelihood(mix) <- value
mix |
Prior mixture distribution. |
value |
New likelihood. Should only be changed for Gamma priors as these are supported
with either Poisson ( |
If the prior and posterior distributions are in the same family, then the prior distribution is called a conjugate prior for the likelihood function.
| Prior/Posterior | Likelihood | Predictive | Summaries |
| Beta | Binomial | Beta-Binomial | n, r |
| Normal | Normal (fixed σ) | Normal | n, m, se |
| Gamma | Poisson | Gamma-Poisson | n, m |
| Gamma | Exponential | Gamma-Exp (not supported) | n, m
|
# Gamma mixture gmix <- mixgamma(c(0.3, 20, 4), c(0.7, 50, 10)) # read out conjugate partner likelihood(gmix) ess(gmix) # set conjugate partner likelihood(gmix) <- "exp" # ... which changes the interpretation of the mixture ess(gmix)
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.