Title: Statistical Process Control Charts
Authors@R: person(given = "Peter", family = "P. Lupo", role = c("aut", "cre"), email = "pplupo@gmail.com")
Description: Generate time series chart for individual values with mean and +/-
3 standard deviation lines and the corresponding mR chart with the upper control
limit. Also execute the 8 Shewhart stability run tests and display the violations.
Maintainer: Peter P. Lupo <pplupo@gmail.com>

Depends: R (>= 2.11.1), ggplot2, Matrix, methods
Description: This package implements data structures for stochastic
processes, which consists of either discretely observed
continuous time processes, marked point processes or a

Depends: R (>= 2.14.1), ggplot2, methods, reshape2
process data, which consists of either discretely observed

Packaged: 2012-03-02 13:00:05 UTC; nielsrichardhansen

Title: Construct Process Maps Using Event Data
Description: Visualize of process maps based on
event logs, in the form of directed graphs. Part of the 'bupaR' framework.
Imports: dplyr,bupaR, edeaR, DiagrammeR, ggplot2, ggthemes

Imports: dplyr,bupaR, edeaR, DiagrammeR, ggplot2, ggthemes, stringr,

person("Benoît","Depaire",email = "benoit.depaire@uhasselt.be", role = c("ctb")),
person("Thijs","Beuving", email = "thijs.beuving@kpn.com", role = c("ctb")))
purrr, data.table, shiny, miniUI, glue, forcats, hms,

Imports: dplyr, bupaR (>= 0.4.0), edeaR (>= 0.8.0), DiagrammeR (>=
1.0.0), ggplot2, ggthemes, stringr, purrr, data.table, shiny,
miniUI, glue, forcats, hms, RColorBrewer, plotly, rlang, scales

miniUI, glue, forcats, hms, RColorBrewer, plotly, rlang,

Description: Visualize event logs using directed graphs, i.e. process maps. Part of the 'bupaR' framework.

person("Gerard","van Hulzen", email = "gerard.vanhulzen@uhasselt.be", role = c("ctb")),
person("Thijs","Beuving", email = "thijs.beuving@kpn.com", role = c("ctb")),
1.0.0), ggplot2, stringr, purrr, data.table, shiny, miniUI,
glue, forcats, hms, plotly, rlang, scales, tidyr, htmltools,
Suggests: knitr, rmarkdown, eventdataR, testthat (>= 3.0.0)