Skip to contents

Default Prior Specification for Hurdle Beta-Binomial Models

Source: R/priors.R
default_prior.Rd

Returns the package default priors, which are weakly informative and match the Stan model code:

Usage

default_prior()

Value

An S3 object of class "hbb_prior". See hbb_prior() for the full structure.

Details

ParameterPrior
alphaNormal(0, 2)
betaNormal(0, 2)
log_kappaNormal(2, 1.5)
gammaNormal(0, 1)
tauHalfNormal(0, 1)
L_OmegaLKJ(2)

See also

hbb_prior() for custom prior specification.

Other priors: hbb_prior()

Examples

dp <- default_prior()
dp
#> Hurdle Beta-Binomial Prior Specification
#> ----------------------------------------
#>   alpha     ~ Normal(0, 2) 
#>   beta      ~ Normal(0, 2) 
#>   log_kappa ~ Normal(2, 1.5) 
#>   gamma     ~ Normal(0, 1) 
#>   tau       ~ HalfNormal(0, 1) 
#>   L_Omega   ~ LKJ(2) 

# Inspect a specific component
dp$alpha
#> $dist
#> [1] "normal"
#> 
#> $mean
#> [1] 0
#> 
#> $sd
#> [1] 2
#> 
dp$lkj_eta
#> [1] 2