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example_model

Example model

Description

A model for use in rstanarm examples.

Format

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.

See Also

cbpp for a description of the data.

Examples

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
rstanarm

Bayesian Applied Regression Modeling via Stan

v2.21.1
GPL (>= 3)
Authors
Jonah Gabry [aut], Imad Ali [ctb], Sam Brilleman [ctb], Jacqueline Buros Novik [ctb] (R/stan_jm.R), AstraZeneca [ctb] (R/stan_jm.R), Trustees of Columbia University [cph], Simon Wood [cph] (R/stan_gamm4.R), R Core Deveopment Team [cph] (R/stan_aov.R), Douglas Bates [cph] (R/pp_data.R), Martin Maechler [cph] (R/pp_data.R), Ben Bolker [cph] (R/pp_data.R), Steve Walker [cph] (R/pp_data.R), Brian Ripley [cph] (R/stan_aov.R, R/stan_polr.R), William Venables [cph] (R/stan_polr.R), Paul-Christian Burkner [cph] (R/misc.R), Ben Goodrich [cre, aut]
Initial release
2020-07-20

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