A model for use in rstanarm examples.
Calling example("example_model") will run the model in the
Examples section, below, and the resulting stanreg object will then be
available in the global environment. The chains and iter
arguments are specified to make this example be small in size. In practice,
we recommend that they be left unspecified in order to use the default
values (4 and 2000 respectively) or increased if there are convergence
problems. The cores argument is optional and on a multicore system,
the user may well want to set that equal to the number of chains being
executed.
cbpp for a description of the data.
example_model <- stan_glmer(cbind(incidence, size - incidence) ~ size + period + (1|herd), data = lme4::cbpp, family = binomial, QR = TRUE, # this next line is only to keep the example small in size! chains = 2, cores = 1, seed = 12345, iter = 1000, refresh = 0) example_model#> stan_glmer #> family: binomial [logit] #> formula: cbind(incidence, size - incidence) ~ size + period + (1 | herd) #> observations: 56 #> ------ #> Median MAD_SD #> (Intercept) -1.5 0.6 #> size 0.0 0.0 #> period2 -1.0 0.3 #> period3 -1.1 0.3 #> period4 -1.5 0.5 #> #> Error terms: #> Groups Name Std.Dev. #> herd (Intercept) 0.77 #> Num. levels: herd 15 #> #> ------ #> * For help interpreting the printed output see ?print.stanreg #> * For info on the priors used see ?prior_summary.stanreg