Package: daqapo
Type: Package
Title: Data Quality Assessment for Process-Oriented Data
Version: 0.3.2
Date: 2022-07-13
Authors@R: c(
            person("Niels", "Martin", email = "niels.martin@uhasselt.be", role = c("aut", "cre")),
            person("Greg", "Van Houdt", email = "greg.vanhoudt@uhasselt.be", role = "ctb"),
            person("Gert", "Janssenswillen", email = "gert.janssenswillen@uhasselt.be", role = "ctb"))
Description: Provides a variety of methods to identify data quality issues in process-oriented data, which are useful to verify data quality in a process mining context. Builds on the class for activity logs implemented in the package 'bupaR'. Methods to identify data quality issues either consider each activity log entry independently (e.g. missing values, activity duration outliers,...), or focus on the relation amongst several activity log entries (e.g. batch registrations, violations of the expected activity order,...).
License: MIT + file LICENSE
URL: https://github.com/bupaverse/daqapo/
BugReports: https://github.com/bupaverse/daqapo/issues/
LazyData: true
RoxygenNote: 7.2.0
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: dplyr, lubridate, stringdist, stringr, tidyr, xesreadR, rlang,
        bupaR (>= 0.5.0), readr, edeaR, magrittr, purrr, glue, miniUI,
        shiny, tibble
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2022-07-14 08:21:23 UTC; lucp8407
Author: Niels Martin [aut, cre],
  Greg Van Houdt [ctb],
  Gert Janssenswillen [ctb]
Maintainer: Niels Martin <niels.martin@uhasselt.be>
Repository: CRAN
Date/Publication: 2022-07-14 09:00:09 UTC
Built: R 4.6.0; ; 2026-04-25 13:39:08 UTC; unix
