Package: heuristicsmineR
Type: Package
Title: Discovery of Process Models with the Heuristics Miner
Version: 0.2.4
Authors@R: 
    person(given = "Felix",
           family = "Mannhardt",
           role = c("aut", "cre"),
           email = "felix.mannhardt@sintef.no")
Description: Provides the heuristics miner algorithm for process discovery 
   as proposed by Weijters et al. (2011) <doi:10.1109/CIDM.2011.5949453>. The
   algorithm builds a causal net from an event log created with the 'bupaR' 
   package. Event logs are a set of ordered sequences of events for which 
   'bupaR' provides the S3 class eventlog(). The discovered causal nets 
   can be visualised as 'htmlwidgets' and it is possible to annotate them with
   the occurrence frequency or processing and waiting time of process 
   activities.  
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
LinkingTo: Rcpp, BH
SystemRequirements: C++11
Depends: R (>= 2.10)
Imports: bupaR, processmapR (>= 0.3.1), rlang, magrittr, dplyr, tidyr,
        DiagrammeR (>= 1.0.0), petrinetR, purrr, scales, Rcpp, ggplot2,
        ggthemes, data.table, stringr
Suggests: eventdataR, svgPanZoom, DiagrammeRsvg
RoxygenNote: 7.1.0
URL: https://github.com/bupaverse/heuristicsmineR
BugReports: https://github.com/bupaverse/heuristicsmineR/issues
NeedsCompilation: yes
Packaged: 2020-03-29 19:03:34 UTC; felixm
Author: Felix Mannhardt [aut, cre]
Maintainer: Felix Mannhardt <felix.mannhardt@sintef.no>
Repository: CRAN
Date/Publication: 2020-03-29 19:50:03 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2020-08-01 11:38:36 UTC; windows
Archs: i386, x64
