All tidying methods return a data.frame
without rownames.
The structure depends on the method chosen.
When effects="fixed"
(the default), tidy.stanreg
returns
one row for each coefficient, with three columns:
termThe name of the corresponding term in the model.
estimateA point estimate of the coefficient (posterior median).
std.errorA standard error for the point estimate based on
mad
. See the Uncertainty estimates section in
print.stanreg
for more details.
For models with group-specific parameters (e.g., models fit with
stan_glmer), setting effects="ran_vals"
selects the group-level parameters instead of the non-varying regression
coefficients. Addtional columns are added indicating the level and
group. Specifying effects="ran_pars" selects the
standard deviations and (for certain models) correlations of the group-level
parameters.
Setting effects="auxiliary" will select parameters other than those
included by the other options. The particular parameters depend on which
rstanarm modeling function was used to fit the model. For example, for
models fit using stan_glm the overdispersion
parameter is included if effects="aux", for
stan_lm the auxiliary parameters include the residual
SD, R^2, and log(fit_ratio), etc.
glance returns one row with the columns
algorithmThe algorithm used to fit the model.
pssThe posterior sample size (except for models fit using
optimization).
nobsThe number of observations used to fit the model.
sigmaThe square root of the estimated residual variance, if
applicable. If not applicable (e.g., for binomial GLMs), sigma
will
be given the value 1
in the returned object.
If looic=TRUE, then the following additional columns are also
included:
looicThe LOO Information Criterion.
elpd_looThe expected log predictive density (elpd_loo = -2 *
looic
).
p_looThe effective number of parameters.