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download.file
errors.Replaced writeAlizer:::wa_seed_example_models()
with
writeAlizer::wa_seed_example_models()
in examples and
documentation, per CRAN’s guidance to avoid accessing unexported
objects.
Exported wa_seed_example_models()
with full
documentation:
@return
(returns the created temp path
invisibly).tempdir()
and cleans up; it also restores any prior option
value.options(writeAlizer.mock_dir = <path>)
.@return
added to
import_coh()
, import_rb()
,
import_gamet()
, import_merge_gamet_rb()
.\\dontrun{}
replaced with
\\donttest{}
where needed; fast examples unwrapped;
predict_quality()
uses a tiny offline
'example'
model seeded in tempdir()
with
cleanup.tempdir()
; caching standardized via
tools::R_user_dir("writeAlizer","cache")
.wa_cache_dir()
and
wa_cache_clear(ask=)
for cache discovery/cleanup.model_deps()
reports (does not
install) optional packages and prints an install hint;
install_model_deps()
deprecated.withr
fixtures; no temp
detritus; removed deprecated global teardown.writeAlizer.mock_dir
.install_model_deps()
:
model
argument.options(writeAlizer.require_pkgs_for_fits = function() ...)
hook; dropped internal helper.Suggests
discovery path via
utils::packageDescription(..., fields = "Suggests")
.dry_run = TRUE
now returns tokens visibly (character
vector); version qualifiers are stripped only for checks/installs.artifact_registry
: prefer CSV
(inst/metadata/artifacts.csv
) and remove legacy in-code
fallback table; tighter input validation.install_model_deps()
:
options(writeAlizer.require_pkgs_for_fits = function(model, install, return_pkgs) {...})
.install_model_deps()
;
tidied roxygen..wa_ensure_file
)
with explicit cache dirs and checksum paths.download.file()
and file URLs during tests.rb_mod3all
now calls the rb_mod3all_v2
models).predict_quality()
now returns per-submodel scores
and the overall mean column
pred_<model>_mean
(where applicable).import_rb()
now keeps ReaderBench features by
name using the packaged sample_rb.csv
header
(first 404), dropping 405+. It falls back to the legacy positional
selection if the header is unavailable, reducing brittleness to column
reordering.install_model_deps()
helper to install Suggests
for a given model.rb_mod3narr_v2
, rb_mod3exp_v2
,
rb_mod3per_v2
, rb_mod3all_v2
) and Coh-Metrix
(coh_mod3narr
, coh_mod3exp
,
coh_mod3per
, coh_mod3all
).rb_mod3narr
, rb_mod3exp
,
rb_mod3per
, rb_mod3all
).predict_quality()
call..csv
.predict_quality()
now also returns an ID
variable.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.