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Home Page: https://ghurault.github.io/HuraultMisc/
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Personal R package
Home Page: https://ghurault.github.io/HuraultMisc/
License: Other
cf. redundant code
In order to test stan functions, we need to manipulate a stanfit object.
To do this rapidly, simple solutions include:
However, these files are too big (around 5MB) triggering a CRAN note.
It would be nice to find a way around this.
A potential solution could be to compile the models during the build as described here.
Or use a package using pre-compiled Stan models, like rstanarm (include the package as Suggests).
Some Stan-related function in the package achieve similar outcomes as function in tidybayes.
Maybe mark them as obsolete or mention the difference in the doc?
extract_parameters_from_draw(fit, param, draw)
roughly equivalent to fit %>% tidy_draws() %>% gather_variables() %>% filter(.draw == draw & .variable %in% param)
, but the tidybayes version is a bit inefficient as all draws and all parameters are extracted then filtered (also the draw IDs are not exactly the same).
spread_draws
would probably be more efficient when only a handful of parameters are extracted (but can only specify which draw afterwards, or select the number of draws that are extracted).
Slightly equivalent to fit %>% tidy_draws() %>% gather_variables %>% mean_qi()
, although we don't have information about R_hat or n_eff and indexes are not processed.
spread_draws
with mean_qi
(or equivalent) would be more useful to summarise the distribution of a handful of parameters.
Could use stat_lineribbon in tidybayes
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