Changes asked for in CRAN's review of the first submission:
Breaking: irw_download() and irw_save_bibtex() no longer have a default output path; name the file with path / output_file. Nothing is written to the working directory by default.
The table cache now defaults to tools::R_user_dir("irw", "cache") (e.g. ~/.cache/R/irw) instead of ~/.cache/irw, per CRAN policy. Tables cached by 1.3.0 are fetched again once. The Python package still defaults to ~/.cache/irw; set IRW_CACHE_DIR for both to share one cache.
Examples: the ones that need no network run as-is; the ones that query Redivis are in \donttest{} instead of \dontrun{}.
gnm and BradleyTerry2 added to Suggests (used by the irw_simdata_comp() example).
Reading the warehouse needs a Redivis login (the README's 1.3.0-era "login optional" section was wrong and is reverted). Outside an interactive session, functions that read the warehouse now stop at once with instructions when no login is cached, instead of starting a browser login that waits forever. New irw_has_credentials() reports whether a login is available; the warehouse examples run only when it is TRUE.
irw_simdata() and irw_simdata_comp(): seed no longer changes the caller's random number stream; it is restored on exit.
irw_covariate_labels() and irw_covariates(labels = TRUE): the source's value labels for coded covariates, from irw_meta's new covariate_labels table; opt-in, irw_fetch() unchanged (ben-domingue/irw#1775)
Docs: the exact-instrument collections (phq9, gad7, ...) and what their basis values mean, in irw_collection_members() and irw_collections() (ben-domingue/irw#1712)
irw_fetch(): once-per-session credit note for tables found via openESM and similar collections (ben-domingue/irw#2421)
irw_save_bibtex(): also returns the openESM citation for tables found via openESM (ben-domingue/irw#2421)
irw_imv() computes the InterModel Vigorish, and irw_predict() returns
per-response predicted probabilities from a fitted mirt model. Together
they support out-of-sample model comparison, walked through in the new
"Comparing Models Out of Sample with the IMV" article (#131, #130).irw_set_version(), irw_get_version() and irw_reset_version() pin IRW
data to a Redivis version, so an analysis can be reproduced against the data
it was written for (#128).irw_collections(), irw_collection() and irw_collection_members() expose
the curated groupings of IRW tables (#125).irw_recode(), irw_recode_key() and irw_decode() swap long identifiers
for keyboard-friendly ones and back again (#123).irw_table_sets() summarizes the items and response values in a table with a
server-side query, returning in seconds and without spending export quota.
Exhausted quota is now reported as a quota error rather than a missing table
(#121).irw_simdata() draws default discriminations for model = "2PL" and
"3PL" from lognormal(0, 0.5) rather than lognormal(0.2, 0.2). The old
spread put the middle half of items between 0.95 and 1.25, which is a Rasch
model in all but name; the new one keeps the median at 1 and widens that
range to 0.7-1.4. Simulated data changes for a fixed seed when a is not
supplied — pass a = rlnorm(n_item, 0.2, 0.2) for the old behavior (#132).mirt, ltm, psychotools and other
psychometrics packages (#124), and a pointer to the IRW project map (#127).