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Showing content from http://cran.rstudio.com/web/packages/Rcpp/../RcppParallel/../rPref/../Rcpp/../keyATM/news/news.html below:

NEWS

• Adding the refine_keywords() function to refine keywords by dropping topics that do not have any occurrence in the documents (#222)

• Fixing the semantic coherence function (#220)

• Updating the paper information
• Deleting the save() function (thank you @AMindToThink for repoting this error in #214)

• Adding options to set the hyperparameters eta.
• Documentation updates to pass CRAN checks.

• Migrating to C++17 to follow the new CRAN check. We edited shuffled_indexes() that internally used std::random_shuffle(). This change does not guarantee backward compatibility across all platforms.
• Using the package cli instead of the base R message() and warning() functions.
• A new feature to resume the iteration.
• Stopped support for the label model in keyATM() (it was an experimental feature).

• Supporting tidyselect 1.2.0. Updating some internal functions.
• Including the state information of HMM in the plot_timetrend() output (thank you @WenHanGao for the suggestion in #188).

• A bug fix in summary.keyATM_docs().

• Adding the plot_topicprop() function.
• Implementation of semantic coherence diagnostics from Mimno et al. (2011) via the semantic_coherence() function (thanks to Seo-young Silvia Kim for your suggestion).

• Pure R text loading to address issues related to UTF-8 encoding in Windows (#189)

• Remove an unused argument (width) in the plot_timetrend() function.
• Use Rcpp::message() if verbose = TRUE.
• Completely remove parallel::mclapply.

• by_strata_DocTopic() takes the correct arguments (#180, thank you @pmeiners for reporting this!).

• Implementation of Polya-Gamma covariate keyATM.
• Use future.apply instead of parallel (no backward compatibility if you use the init_parallel option).
• The keyATM_read() function returns a list of objects (e.g., text and document index).
• An option to store document names in a quanteda dfm object. The keep_docnames option in the keyATM_read() function (thank you Morgan ‘Les’ DeBusk-Lane for the suggestion!).
• An option to split a dfm to choose keywords with an unsupervised topic model.

• Using just first 58 speeches of inaugural corpus in test (thank you Ken Benoit for catching this!).

• Changes related to release of dplyr 1.0.1.

• Use the Highest Density Interval as a default (method = "hdi") in plot.strata_doctopic(), plot_timetrend(), and plot_pi(). The previous version uses the Equal-tailed Interval (method = "eti").
• Add read_keywords for reading dictionary files (e.g. YAML, LIWC).
• Add the predict() function for the covariate keyATM (thank you Sanja Hajdinjak for the suggestion!).
• Detailed options for standardization in the covariate keyATM:
  • The standardize option in model_settings argument of the keyATM() function now takes one of "all", "none", or "non-factor" (default).
  • "all" standardizes all covariates (except the intercept), "none" does not standardize any covariates, and "non-factor" standardizes non-factor covariates.
  • In previous versions, this option takes either TRUE (default, standardizing all covariates) or FALSE.
• A bug fix in the by_strata_DocTopic() function.
• The output of the keyATM() includes the index of documents used for fitting (this will be useful if the input includes documents with zero length).
• Add a progress_bar option in the keyATM_read() function (thank you Jae Yeon Kim for the suggestion!).

• Fix checking time index input (thank you Jae Yeon Kim for pointing out this issue!).

• Updates for dplyr 1.0.0.
• Update tests.

• Temporary update test-Initialization.R to deal with some errors.

• Update the by_strata_DocTopic() function.
• Make examples runnable (thank you Chung-hong Chan for the suggestion!).
• Speed up (about 15% faster).
• save_fig() function.
• Automatically drops documents with length 0, raising a warning (thank you Francesco Grossetti for the suggestion!).
• Update plot.strata_doctopic(): showing by topic by default (thank you Soichiro Yamauchi for the suggestion!).

• weightedLDA() without specifying the number of iterations (Chung-hong Chan independently reported this bug, thank you!).
• Log-likelihood of dynamic models.
• Saving figures
• Topic labels when there is no keyword topic.
• summary.strata_doctopic(): the last topic is removed when the number of no-keyword topic is 0 (thank you Emma Ebowe for pointing out this issue!).

• The first CRAN version.
• Organize functions into a package.
• Add keyATM Label.
• Replace hashmap with fastmap.
• Thank you Santiago Olivella for finding several bugs!

• We have a new syntax (this version does not support objects made in older keyATM).
• Faster read functions.
• Memory efficiency.

• Add keyATM Dynamic.

• Add keyATM Covariate.

• Faster estimation.

• This is the first stable version.

• This version implements weighted model.

• This is the first release of keyATM.
• It includes the Base model and the first version of the Covariate model.

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