sim_meff: Simulate priors on shrinkage and number of effective...
In jrnold/bayz: Miscellaneous Bayesian functions

Draw samples from the implied priors on the shrinkage parameters (sim_kappa) and number of effective parameters (sim_meff) in hierarchical scale-mixture of normal shrinkage priors.

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sim_meff(lambda, tau = 1, sigma = 1, D = 1, n = 1, sims = 1000)

sim_kappa(lambda, tau = 1, sigma = 1, n = 1, sims = 1000)

`lambda`	Either a number or a function which samples from the local scale, τ.
`tau`	Either a number or a function which samples from the global scales, λ.
`sigma`	Either a number or a function which samples from the observation scale, σ.
`D`	The number of parameters
`n`	The number of observations in the data
`sims`	The number of samples to draw.