get_prior | R Documentation |
The functions gets the defined distribution of a defined model parameter
get_prior(model,par,lag = 0)
model |
a time series model class specified in bayesforecast. |
par |
a string value with the desired parameter to impose a prior.
Possible arguments are: |
lag |
an optional integer value, indicates the desired parameter's lag to
impose a prior. If |
None. Prints the prior distribution of a desired parameter.
Asael Alonzo Matamoros
# get all the ar parameters
dat = Sarima(birth,order = c(2,1,2))
get_prior(model = dat,par = "ar")
# change the mean constant parameter
dat = set_prior(model = dat,par = "mu0",dist = student(0,2.5,7))
get_prior(dat,par = "mu0")
# change and print only the second ma parameter
dat = set_prior(model = dat,par = "ma",dist = beta(2,2),lag = 2)
get_prior(dat,par = "ma")
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.