Prior Specifications for ML-UMR

Helper functions to specify prior distributions for ML-UMR models.

Usage

prior_normal(mean = 0, sd = 10)

Arguments

mean

Prior mean

sd

Prior standard deviation

Value

A list with prior specification

Examples

# Weakly informative prior for intercepts
prior_normal(mean = 0, sd = 10)
#> $distribution
#> [1] "normal"
#> 
#> $mean
#> [1] 0
#> 
#> $sd
#> [1] 10
#> 

# More informative prior for regression coefficients
prior_normal(mean = 0, sd = 2.5)
#> $distribution
#> [1] "normal"
#> 
#> $mean
#> [1] 0
#> 
#> $sd
#> [1] 2.5
#>