Create marginal posterior density function approximations for random effect SDs
For each RE-SD, approximates the marginal posterior density from MCMC samples for use in BF calculations.
posterior_density_funs_sigmas(mires, add_zero = TRUE, ...)
mires |
mires object. |
add_zero |
Logical (Default: TRUE). Whether to add a zero to samples. |
... |
Args passed onto .density.stan. |
Starts by computing (lower-bounded) logspline approximations. If these fail, it uses the Dirichlet process with positive-normal kernels as an approximation.
List of approximate density functions.
Stephen Martin
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