setPriors.HmscRandomLevel function

setPriors.HmscRandomLevel

Sets or resets priors to the Hmsc object

## S3 method for class 'HmscRandomLevel'
setPriors(
  rL,
  nu = NULL,
  a1 = NULL,
  a2 = NULL,
  b1 = NULL,
  b2 = NULL,
  alphapw = NULL,
  nfMax = NULL,
  nfMin = NULL,
  setDefault = FALSE,
  ...
)

Arguments

• rL: a fitted HmscRandomLevel model object
• nu, a1, b1, a2, b2: parameters of the multiplicative gamma process shrinking prior
• alphapw: discrete grid prior for spatial scale parameter
• nfMax: maximum number of latent factors to be sampled
• nfMin: minimum number of latent factors to be sampled
• setDefault: logical indicating whether default priors should be used
• ...: other arguments (ignored)

Returns

Modified HmscRandomLevel object