tar_stan_output: Post-process Stan output
In ropensci/stantargets: Targets for Stan Workflows

tar_stan_output

R Documentation

Post-process Stan output

Not a user-side function. Do not invoke directly.

tar_stan_output(
  fit,
  output_type,
  summaries,
  summary_args,
  transform,
  variables,
  inc_warmup,
  data,
  data_copy,
  seed
)

`fit`	A Stan fit object.
`output_type`	Type of output to create, either `"summaries"`, `"draws"`, or `"diagnostics"`.
`summaries`	Optional list of summary functions passed to `...` in `posterior::summarize_draws()` through `⁠$summary()⁠` on the `CmdStanFit` object.
`summary_args`	Optional list of summary function arguments passed to `.args` in `posterior::summarize_draws()` through `⁠$summary()⁠` on the `CmdStanFit` object.
`transform`	Symbol or `NULL`, name of a function that accepts arguments `data` and `draws` and returns a data frame. Here, `data` is the JAGS data list supplied to the model, and `draws` is a data frame with one column per model parameter and one row per posterior sample. Any arguments other than `data` and `draws` must have valid default values because `stantargets` will not populate them. See the simulation-based calibration (SBC) section of the simulation vignette for an example.
`variables`	(character vector) The variables to include.
`inc_warmup`	Logical, whether to include the warmup draws.
`data`	List, Stan dataset.
`data_copy`	Character vector of names of scalars in `data`. These values will be inserted as columns in the output data frame for each rep. To join more than just scalars, include a `.join_data` element of your Stan data list with names and dimensions corresponding to those of the model. For details, read https://docs.ropensci.org/stantargets/articles/simulation.html.
`seed`	Integer vector, random number generator seed used to run Stan.