Title: Interface to the 'PM4py' Process Mining Library
Authors@R: person("Felix", "Mannhardt", email = "felix.mannhardt@sintef.no",
Description: Interface to 'PM4py' <http://pm4py.org>, a process mining library
in 'Python'. This package uses the 'reticulate' package to act as a bridge
between 'PM4Py' and the 'R' package 'bupaR'. It provides several process
discovery algorithms, evaluation measures, and alignments.
Imports: reticulate (>= 1.11), bupaR, petrinetR, purrr, stringr

Authors@R: person("Tao", "Wang", email = "twang2218@gmail.com", role = c("aut", "cre"))
A set of functions to produce the process map visualization for process analysis. It
can generate the process map from a process event logs recorded in the process, with
the ability of pruning the nodes and/or edges to reduce the complexity of the result.
Imports: dplyr (>= 0.5.0), data.table (>= 1.9.8), DiagrammeR (>=

A set of functions to produce a process map visualization for process analysis. It
can generate the process map from a process event log recorded from history, with
Imports: dplyr (>= 0.5.0), lubridate, data.table (>= 1.9.6), DiagrammeR
Suggests: covr, roxygen2, testthat, DiagrammeRsvg, rsvg

Description: Implements type constructions and pattern matching.
Using this package, you can specify a type of object and write functions
that matches against the structure of objects of such types to program
data structure transformations more succinctly.
Depends: R (>= 3.2), dplyr, purrr, rlang, tibble, glue
Suggests: shiny, DT, covr, styler, lintr, testthat, knitr, rmarkdown,

Imports: dplyr, purrr, rlang (>= 0.2.0), tibble, glue

magrittr, microbenchmark, tailr (>= 0.1.0)

Imports: dplyr, purrr, rlang (>= 0.2.0), tibble, glue, foolbox,

Description: Monte Carlo based model choice for applied phylogenetics
Imports: ape, geiger, reshape, snowfall, TreeSim, methods, ouch
Collate: 'format_data.R' 'pmc.R' 'powercurve.R' 'wrappers_geiger.R'

Imports: ape, geiger, snowfall, TreeSim, methods, ouch, reshape2

Description: Monte Carlo based model choice for applied phylogenetics of
continuous traits. Method described in  Carl Boettiger, Graham Coop,
Peter Ralph (2012) Is your phylogeny informative? Measuring
the power of comparative methods, Evolution 66 (7)
Authors@R: person('Carl', 'Boettiger', email='cboettig@gmail.com', role =c('aut', 'cre'))
Suggests: covr, gridExtra, knitr, testthat
Imports: dplyr, geiger, ggplot2, parallel, ouch, tidyr