c(person("Benjamin", "Christoffersen",
email = "boennecd@gmail.com",
role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-7182-1346")),
person("Madeleine", "Thompson", role = "cph"))
Benjamin Christoffersen [cre, aut]
(<https://orcid.org/0000-0002-7182-1346>),
Madeleine Thompson [cph]

Reports errors and messages to Rollbar, the error tracking platform <https://rollbar.com>.

R Markdown Output Formats for Storytelling
c(
person("Yihui", "Xie", email = "xie@yihui.name", role = c("aut", "cre")),
person("Siqi", "Zhang", email = "iqis.gnahz@gmail.com", role = c("ctb")),
person("Russell", "Goldenberg", role = "ctb", comment = "The JS library inst/resources/scrollama/scrollama.min.js"),
person()
)
R Markdown output formats based on JavaScript libraries such as
'Scrollama' (<https://github.com/russellgoldenberg/scrollama>) for storytelling.
Yihui Xie [aut, cre],
Siqi Zhang [ctb],
Russell Goldenberg [ctb] (The JS library
inst/resources/scrollama/scrollama.min.js)

Construct Consistent Time Series from Textual Data
A rolling version of the Latent Dirichlet Allocation, see Rieger et al. (2021) <https://www.statistik.tu-dortmund.de/fileadmin/user_upload/Lehrstuehle/IWuS/Forschung/rollinglda.pdf>. By a sequential approach, it enables the construction of LDA-based time series of topics that are consistent with previous states of LDA models. After an initial modeling, updates can be computed efficiently, allowing for real-time monitoring and detection of events or structural breaks.
checkmate (>= 1.8.5), data.table (>= 1.11.2), lubridate,
stats, tosca (>= 0.2-0), utils

A rolling version of the Latent Dirichlet Allocation, see Rieger et al. (2021) <doi:10.18653/v1/2021.findings-emnlp.201>. By a sequential approach, it enables the construction of LDA-based time series of topics that are consistent with previous states of LDA models. After an initial modeling, updates can be computed efficiently, allowing for real-time monitoring and detection of events or structural breaks.

Rob Chew [aut, cre], Kasey Jones [aut, cre], Mahin Manley [aut], Allison Witman [res], Chris Beadles [res],Yiyan (Echo) Liu [res], Ann Larson [res]
Functions to perform propensity score matching on rolling entry interventions for which a suitable "entry" date is not observed for nonparticipants. For more details, please reference Witman, Beadles, Hoerger, Liu, Kafali, Gandhi, Amico, and Larsen (2016) <https://academyhealth.confex.com/academyhealth/2016arm/meetingapp.cgi/Paper/9375>.