% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/ild_brms.R
\name{ild_prior_ild}
\alias{ild_prior_ild}
\title{Prior specifications for common ILD mixed models}
\usage{
ild_prior_ild(
  template = c("default", "weakly_informative", "minimal_shrinkage")
)
}
\arguments{
\item{template}{Character selecting the template:
\describe{
  \item{\code{default}}{Student-t intercept; Normal(0, 5) fixed effects;
    Student-t group SDs; exponential residual SD (Gaussian models).}
  \item{\code{weakly_informative}}{Wider scales (more diffuse) on intercept
    and \code{b} coefficients.}
  \item{\code{minimal_shrinkage}}{Tighter Normal(0, 2.5) on \code{b} (similar
    to Gelman et al. scaled logistic guidance; use with scaled predictors).}
}}
}
\value{
A \code{brmsprior} data frame (class \code{brmsprior}).
}
\description{
Returns a \code{brmsprior} object suitable for the \code{prior} argument of
[ild_brms()] / [brms::brm()]. Templates follow weakly informative defaults:
Student-t on intercepts and group SDs, normal on regression coefficients, and
exponential on residual SD where applicable.
}
\seealso{
[ild_brms()]
}
