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save()
function (thank you [@AMindToThink](https://github.com/AMindToThink) for repoting this error in #214)eta
.shuffled_indexes()
that internally used std::random_shuffle()
. This change does not guarantee backward compatibility across all platforms.cli
instead of the base R message()
and warning()
functions.label
model in keyATM()
(it was an experimental feature).plot_timetrend()
output (thank you [@WenHanGao](https://github.com/WenHanGao) for the suggestion in #188).summary.keyATM_docs()
.plot_topicprop()
function.semantic_coherence()
function (thanks to Seo-young Silvia Kim for your suggestion).width
) in the plot_timetrend()
function.Rcpp::message()
if verbose = TRUE
.parallel::mclapply
.by_strata_DocTopic()
takes the correct arguments (#180, thank you [@pmeiners](https://github.com/pmeiners) for reporting this!).Roadmap for this version.
future.apply
instead of parallel
(no backward compatibility if you use the init_parallel
option).keyATM_read()
function returns a list of objects (e.g., text and document index).keep_docnames
option in the keyATM_read()
function (thank you Morgan ‘Les’ DeBusk-Lane for the suggestion!).Roadmap for this version.
method = "hdi"
) in plot.strata_doctopic()
, plot_timetrend()
, and plot_pi()
. The previous version uses the Equal-tailed Interval (method = "eti"
).read_keywords
for reading dictionary files (e.g. YAML, LIWC).predict()
function for the covariate keyATM (thank you Sanja Hajdinjak for the suggestion!).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.TRUE
(default, standardizing all covariates) or FALSE
.by_strata_DocTopic()
function.keyATM()
includes the index of documents used for fitting (this will be useful if the input includes documents with zero length).progress_bar
option in the keyATM_read()
function (thank you Jae Yeon Kim for the suggestion!).test-Initialization.R
to deal with some errors.Roadmap for this version.
by_strata_DocTopic()
function.save_fig()
function.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!).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!).hashmap
with fastmap
.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.