Calculate log priors
logpriors(
params,
covar = FALSE,
alpha_mean = -10,
alpha_sd = 0.5,
beta_shape = 2,
beta_scale = 2,
gamma_shape = 2,
gamma_scale = 2
)
Vector of parameters: \(\alpha\), \(\beta\) and \(\gamma\)
logical: Should the covariate inflormation be used? default: False
prior for the mean of alpha
prior for the standard deviation of alpha
prior for the shape (gamma distibution) of beta
prior for the scale of beta
prior for the shape (gamma distibution) of gamma
prior for the scale of gamma
log priors