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keyATM 0.5.3

Bug fix

• Fixing the semantic coherence function (##220)

keyATM 0.5.2

Minor changes

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

keyATM 0.5.1

Minor changes

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

keyATM 0.5.0

Major changes

• 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).

Minor changes

• 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).

Bug fix

• A bug fix in summary.keyATM_docs().

keyATM 0.4.2

Major changes

• 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).

Minor changes

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

keyATM 0.4.1

Minor changes

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

Bug fix

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

keyATM 0.4.0

Major changes

• 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.

Bug fix

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

keyATM 0.3.1

Major changes

• Changes related to release of dplyr 1.0.1.

keyATM 0.3.0

Major changes

• 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!).

Bug fix

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

keyATM 0.2.2

Major changes

• Updates for dplyr 1.0.0.
• Update tests.

keyATM 0.2.1

Major changes

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

keyATM 0.2.0

Major changes

• 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!).

Bug fix

• 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!).

keyATM 0.1.0

Major changes

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

keyATM 0.0.7

Major changes

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

keyATM 0.0.6

Major changes

• Add keyATM Dynamic.

keyATM 0.0.5

Major changes

• Add keyATM Covariate.

keyATM 0.0.4

Major changes

• Faster estimation.

keyATM 0.0.3

Major changes

• This is the first stable version.

keyATM 0.0.2

Major changes

• This version implements weighted model.

keyATM 0.0.1

Major changes

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

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.
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