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test_anchortest_anchortest_anchortest_anchortest_anchortest_anchorAdded test_anchor Added more unit tests Fixed a bug in
doc_centrality using the centroid method
Fixes for changes to the Matrix package Updating documentation and added examples
Fix encoding issue for non-ASCII characters to work with
fastmatch Add functionality - perm_tester for
Monte Carlo Permutation Tests for Model P-Values -
rancor_builder creates random corpus based on provided term
probabilities - rancors_builder creates multiple random
corpora]
Include additional tests, updated documentation and vignettes
Working on an encoding error in fastmatch which shows
inconsistent behavior with non-ASCII characters. This dev version
provides a temporary fix.
doc_centrality calculates four graph-based centrality
metrics using DTMsdoc_similarty calculates four document similarity
measures using DTMsget_regions, instead of mlpackseq_builder creates a token-integer sequence
representationdtm_builder includes an option to return a dense base R
matrixdtm_stopper includes an option to remove based on a
terms rank (e.g., top 10), stopping based on count and proportion are
now two separate optionsfind_transformation() to norm, center, and align
matricesfind_projection() finds the projection matrix onto a
vectorfind_rejection() finds the rejection matrix away from a
vectordtm_melter() quickly turns a DTM into a triplet
dataframe (doc_id, term, count)get_centroid() naming (limits to single word for
names)dtm_stopper() to stop words by
document or term frequencies
stop_freq was changed to
stop_termfreqdtm_resampler() to resample
proportion and fixed N lengthsNEWS.md file to track changes to the
package.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.