Nothing
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 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
.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
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