Changes in version 1.4.4                        

  - Fix texts to pass checks on CRAN.

                 Changes in version 1.4.3 (2025-09-28)                  

  - Add as.dictionary to create a dictionary object from topic terms.
  - Suppress messages from internal functions.
  - Move quanteda from Depends to Imports.

                 Changes in version 1.4.2 (2025-01-07)                  

  - Fix tests for quanteda v4.2.0.

                 Changes in version 1.4.1 (2024-09-06)                  

  - Fix regression in 1.4.0 on Linux-like OS.

                 Changes in version 1.4.0 (2024-09-05)                  

  - Use configure to link the TBB library on MacOS.
  - Add adjust_alpha as an experimental argument to optimize alpha
    automatically.
  - Add update_model to update terms of existing models to classify
    documents with unseen words more accurately.

                 Changes in version 1.3.2 (2024-07-03)                  

  - Improve the way to convert std::vector to arma::mat.

                 Changes in version 1.3.1 (2024-06-25)                  

  - Fix C++ code for Armadillo v14.

                 Changes in version 1.3.0 (2024-06-19)                  

  - Add perplexity() to compute perplexity scores of fitted LDA models.
  - Improve documentation.

                 Changes in version 1.2.1 (2024-04-11)                  

  - Fix tests on systems when the TBB library is unavailable.

                 Changes in version 1.2.0 (2024-04-10)                  

  - The RcppParallel package is no longer required as the TBB library in
    the operating system (Linux and MacOS) or Rtools (Windows) is used.
  - Linux and MacOS must have the TBB library to enable parallel
    computing before installing this package from the source.

                        Changes in version 1.1.1                        

  - Allow alpha and beta to be a vector for asymmetric Dirichlet priors.

                 Changes in version 1.1.0 (2023-07-01)                  

  - Remove uniform to simplify the computation of seed word weights.
  - Add levels argument to better handle hierarchical dictionaries.

                 Changes in version 1.0.1 (2023-06-12)                  

  - Fix the error when textmodel_seqlda() is called.
  - Save values in the Array object in double to avoid rounding error
    (#60).

                 Changes in version 1.0.0 (2023-05-31)                  

  - Add auto_iter to textmodel_seededlda() and textmodel_lda() to stop
    Gibbs sampling automatically before max_iter is reached.
  - Add batch_size to textmodel_seededlda() and textmodel_lda() to
    enable the distributed LDA algorithm for parallel computing.

                 Changes in version 0.9.0 (2023-04-30)                  

  - Add the gamma parameter to textmodel_seededlda() and textmodel_lda()
    for sequential classification.
  - Add textmodel_seqlda() as as short cut for textmodel_lda(gamma
    = 0.5).
  - Improve the calculation of weights for seed words.
  - Add the regularize argument to divergence() for the regularized
    topic divergence measure.

                 Changes in version 0.8.4 (2023-03-23)                  

  - Fix for deprecation in Matrix 1.5-4.

                 Changes in version 0.8.3 (2023-03-17)                  

  - Add data_corpus_moviereviews to the package to reduce dependency.

                 Changes in version 0.8.2 (2022-10-09)                  

  - Add min_prob and select to topics() for greater flexibility
  - Change the divergence measure from Kullback-Leibler to
    Jensen-Shannon.
  - Add weighted, min_size, select to divergence() for regularized topic
    divergence scores.

                 Changes in version 0.8.1 (2022-03-28)                  

  - Change textmodel_seededlda() to set positive integer values to
    residual.
  - Fix a bug in textmodel_seededlda() that ignores n-grams when
    concatenator is not "_".
  - Change topics() to return document names.
  - Add divergence() to optimize the number of topics or the seed words
    (#26).

                 Changes in version 0.8.0 (2022-01-07)                  

  - Add the model argument to textmodel_lda() to replace predict().

                        Changes in version 0.7.0                        

  - Change the textmodel_seededlda object to save dictionary and related
    settings (#18)

                 Changes in version 0.6.0 (2021-04-08)                  

  - Add predict() to identify topics of unseen documents (#9)
  - Allow selecting seed words based on their frequencies using
    dfm_trim() in textmodel_seededlda() via ... (#8)

                 Changes in version 0.5.1 (2020-12-17)                  

  - Change topics() to return factor with NA for empty documents
  - Fix a bug in initializing LDA that leads to incorrect phi (#4 and
    #6)

                  Changes in version 0.5 (2020-09-10)                   

  - Implement original LDA estimator using the LDAGibbs++ library