labelled (>= 2.0.0), forcats, rlang (>= 0.4.5)
Packaged: 2020-04-08 21:34:38 UTC; johnsonjoh

Packaged: 2020-05-26 18:45:52 UTC; johnsonjoh

Packaged: 2020-08-24 15:11:59 UTC; johnsonjoh

Packaged: 2022-10-26 20:00:18 UTC; johnsonjoh

Imports: rcqp, methods, R6, data.table, slam, Matrix, tm, parallel,
Suggests: polmineR.sampleCorpus, doParallel, markdown, htmltools, xlsx,
sendmailR, koRpus, chron, knitr, bigmemory, bigtabulate, shiny,
Description: Tools for corpus analysis using the CWB as an efficient backend.
The package offers basic functionality to flexibly create subcorpora and to
carry out and basic statistical operations. Beyond that, it is intended to
serve as an interface to packages implementing advanced statistical
Collate: 'CQI.R' 'CQI.cqpserver.R' 'CQI.perl.R' 'CQI.rcqp.R'

Collate: 'CQI.R' 'CQI.Rcpp.R' 'CQI.cqpserver.R' 'CQI.perl.R'

Imports: methods, R6, data.table, slam, Matrix, tm, parallel, foreach,
Suggests: polmineR.sampleCorpus, rcqp, doParallel, markdown, htmltools,
xlsx, sendmailR, knitr, bigmemory, bigtabulate, rJava, shiny

Imports: methods, R6, data.table, slam, Matrix, tm, foreach, DT
Suggests: parallel, polmineR.sampleCorpus, rcqp, doParallel, markdown,
htmltools, xlsx, sendmailR, knitr, bigmemory, bigtabulate,
Description: Tools for corpus analysis using the CWB as an efficient backend
for indexing and querying large corpora. The package offers functionality to
flexibly create subcorpora ("partitions") and to carry out basic statistical
operations (count, cooccurrences etc.). The original full text of documents
can be reconstructed and inspected at any time. Beyond that, the package
is intended to serve as an interface to packages implementing advanced
statistical procedures. Respective data structures (document term matrices, term
cooccurrence matrices etc.) can be created based on the indexed corpora.

Imports: methods, R6, data.table, slam, Matrix, tm, foreach, DT, utils
Suggests: parallel, polmineR.Rcpp, europarl.en, rcqp, doParallel,
markdown, htmltools, xlsx, sendmailR, knitr, bigmemory,
co-occurrence matrices etc.) can be created based on the indexed corpora.