summary.stapreg.RdSummaries of parameter estimates and MCMC convergence diagnostics (Monte Carlo error, effective sample size, Rhat).
# S3 method for stapreg summary(object, pars = NULL, regex_pars = NULL, probs = NULL, waic = F, include_X = FALSE, ..., digits = 1) # S3 method for summary.stapreg print(x, digits = max(1, attr(x, "print.digits")), ...) # S3 method for summary.stapreg as.data.frame(x, ...)
| object | A fitted model object returned by one of the
rstap modeling functions. See |
|---|---|
| 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 In addition, for If |
| regex_pars | An optional character vector of regular
expressions to use for parameter selection. |
| probs | For models fit using MCMC,
an optional numeric vector of probabilities passed to
|
| waic | logical to determine whether waic should be calculated and printed with the summary object |
| include_X | logical for whether or not estimated latent STAP exposure should be included in summary defaults to FALSE |
| ... | Currently ignored. |
| digits | Number of digits to use for formatting numbers when printing.
When calling |
| x | An object of class |
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.
prior_summary to extract or print a summary of the
priors used for a particular model.