R/priors.R
cauchy.Rd
Creates a Cauchy distribution object for use with prior().
prior()
cauchy(mu = 0, sigma = 1)
Location parameter. Default: 0
Scale parameter. Must be positive. Default: 1
An object of class "clm_dist" representing a Cauchy distribution.
"clm_dist"
prior(), normal(), gamma(), student_t()
normal()
gamma()
student_t()
# Create a Cauchy prior (weakly informative) cauchy(0, 2.5) #> cauchy(0, 2.5) # Use with prior() prior(cauchy(0, 2.5), class = "b") #> Prior: cauchy(0, 2.5) #> Class: b