A PriorList object is essentially a list that contains
individual Prior objects. In order to use priors for any of the
engines, the respective Prior has to be identified (e.g.
INLAPrior) and embedded in a PriorList object. Afterwards these
objects can then be added to a distribution object with the add_priors
function.
A PriorList object is essentially a list that contains
individual Prior objects. In order to use priors for any of the
engines, the respective Prior has to be identified (e.g.
INLAPrior) and embedded in a PriorList object. Afterwards these
objects can then be added to a distribution object with the add_priors
function.
Usage
priors(x, ...)
# S4 method for class 'ANY'
priors(x, ...)
priors(x, ...)
# S4 method for class 'ANY'
priors(x, ...)See also
Other prior:
BARTPrior(),
BARTPriors(),
BREGPrior(),
BREGPriors(),
GDBPrior(),
GDBPriors(),
GLMNETPrior(),
GLMNETPriors(),
INLAPrior(),
INLAPriors(),
STANPrior(),
STANPriors(),
XGBPrior(),
XGBPriors(),
add_priors(),
get_priors(),
rm_priors()
Other prior:
BARTPrior(),
BARTPriors(),
BREGPrior(),
BREGPriors(),
GDBPrior(),
GDBPriors(),
GLMNETPrior(),
GLMNETPriors(),
INLAPrior(),
INLAPriors(),
STANPrior(),
STANPriors(),
XGBPrior(),
XGBPriors(),
add_priors(),
get_priors(),
rm_priors()
Examples
p1 <- GDBPrior(variable = "Forest", hyper = "positive")
p2 <- GDBPrior(variable = "Urban", hyper = "decreasing")
priors(p1, p2)
#> Set priors: 2
if (FALSE) { # \dontrun{
p1 <- INLAPrior(variable = "Forest",type = "normal", hyper = c(1,1e4))
p2 <- INLAPrior(variable = "Urban",type = "normal", hyper = c(0,1e-2))
priors(p1, p2)
} # }
