rlang::abort()
:
writeAlizer_registry_missing
– missing/invalid
artifacts.csv
.writeAlizer_unknown_model
– unknown/unsupported model
key (raised by preprocess()
/
predict_quality()
).writeAlizer_download_failed
– offline/bad URL/checksum
fetch failures.writeAlizer_internal_mismatch
– expected submodel count
≠ preprocessing splits..wa_ensure_file
- added classed errors and download
retries.wa_ensure_file()
:
options(writeAlizer.mock_dir=)
(preserves
subdirs).file://
URLs; clearer offline guidance..wa_parts_for()
validates inputs and uses canonicalized
model keys..wa_load_model_rdas()
/
.wa_load_fits_list()
:
mock_dir
artifacts; load via temp env; pick
sensible object (fit
, model
, etc.).example
..wa_require_pkgs_for_fits()
collects deps from model
classes and train$modelInfo$library
; errors with install
hint..wa_validate_import()
- checks ID column for duplicates
and character typemodel_deps()
required
vs missing
from
Suggests
+ override
options(writeAlizer.required_pkgs=)
.required
; strips
qualifiers for missing
.install.packages()
command.NA
/invalid
model
with actionable messages.predict_quality()
surfaces unknown model keys (includes
canonicalized key).ID
; supports v2
varlists and consolidated-split behavior.wa_sample_path()
to reliably find
inst/extdata
in dev/install contexts.options(writeAlizer.offline=TRUE)
and avoid HEAD
probes..quiet_eval()
to silence messages/warnings
in targeted assertions.rb_mod1
, rb_mod2
,
rb_mod3narr_v2
, rb_mod3exp_v2
,
rb_mod3per_v2
, rb_mod3all_v2
coh_mod1
, coh_mod2
,
coh_mod3narr
, coh_mod3exp
,
coh_mod3per
, coh_mod3all
gamet_cws1
mock_dir
; verifies
prediction columns and mean-column rules.rb_mod3all
smoke test made offline-only with mocked
varlists.import_rb()
path with SEP=,
+
read.table(text=readLines())
.NaN
→NA
in character columns; guarded
numeric-like conversion (accepts integer where appropriate).wa_sample_path()
).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.