View source: R/setPriors.HmscRandomLevel.R
setPriors.HmscRandomLevel | R Documentation |
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, ... )
rL |
a fitted |
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) |
Modified HmscRandomLevel object
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