summary.stapreg: Summary method for stapreg objects
In rstap: Spatial Temporal Aggregated Predictor Models via 'stan'

Description Usage Arguments Value See Also

Summaries of parameter estimates and MCMC convergence diagnostics (Monte Carlo error, effective sample size, Rhat).

## S3 method for class 'stapreg'
summary(object, pars = NULL, regex_pars = NULL,
  probs = NULL, waic = F, ..., digits = 1)

## S3 method for class 'summary.stapreg'
print(x, digits = max(1, attr(x,
  "print.digits")), ...)

## S3 method for class 'summary.stapreg'
as.data.frame(x, ...)

`object`	A fitted model object returned by one of the rstap modeling functions. See `stapreg-objects`.
`pars`	An optional character vector specifying a subset of parameters to display. Parameters can be specified by name or several shortcuts can be used. Using `pars="beta"` will restrict the displayed parameters to only the regression coefficients (without the intercept). `"alpha"` can also be used as a shortcut for `"(Intercept)"`. If the model has varying intercepts and/or slopes they can be selected using `pars = "varying"`. In addition, for `stapmvreg` objects there are some additional shortcuts available. Using `pars = "long"` will display the parameter estimates for the longitudinal submodels only (excluding group-specific pparameters, but including auxiliary parameters). Using `pars = "event"` will display the parameter estimates for the event submodel only, including any association parameters. Using `pars = "assoc"` will display only the association parameters. Using `pars = "fixef"` will display all fixed effects, but not the random effects or the auxiliary parameters. `pars` and `regex_pars` are set to `NULL` then all fixed effect regression coefficients are selected, as well as any auxiliary parameters and the log posterior. If `pars` is `NULL` all parameters are selected for a `stapreg` object.
`regex_pars`	An optional character vector of regular expressions to use for parameter selection. `regex_pars` can be used in place of `pars` or in addition to `pars`. Currently, all functions that accept a `regex_pars` argument ignore it for models fit using optimization.
`probs`	For models fit using MCMC, an optional numeric vector of probabilities passed to `quantile`.
`waic`	logical to determine whether waic should be calculated and printed with the summary object
`...`	Currently ignored.
`digits`	Number of digits to use for formatting numbers when printing. When calling `summary`, the value of digits is stored as the `"print.digits"` attribute of the returned object.
`x`	An object of class `"summary.stapreg"`.

The summary method returns an object of class "summary.stapreg", inheriting "summary.stapreg"), which is a matrix of summary statistics and diagnostics, with attributes storing information for use by the print method. The print method for summary.stapreg or summary.stapmvreg objects is called for its side effect and just returns its input. The as.data.frame method for summary.stapreg objects converts the matrix to a data.frame, preserving row and column names but dropping the print-related attributes.