Performance Spectrum Miner for Event Data
c(person("Greg","Van Houdt", email = "greg.vanhoudt@uhasselt.be", role = "aut"),
person("Gert","Janssenswillen",email = "gert.janssenswillen@uhasselt.be", role = c("ctb","cre")),
person("Gerard","van Hulzen",email = "gerard.vanhulzen@uhasselt.be", role = c("ctb")))
Compute detailed and aggregated performance spectrum for event data. The detailed performance spectrum describes the event data in terms of segments, where the performance of each segment is measured and plotted for any occurrences of this segment over time and can be classified, e.g., regarding the overall population. The aggregated performance spectrum visualises the amount of cases of particular performance over time. Denisov, V., Fahland, D., & van der Aalst, W. M. P. (2018) <doi:10.1007/978-3-319-98648-7_9>.
bupaR (>= 0.5.1), dplyr, data.table, forcats, ggplot2, tidyr,
rlang (>= 1.0.0), cli (>= 3.2.0), glue, stringi
knitr, eventdataR, rmarkdown, covr, testthat (>= 3.1.3)
Greg Van Houdt [aut],
Gert Janssenswillen [ctb, cre],
Gerard van Hulzen [ctb]

The package provides an implementation of PSO consistent
with the standard PSO 2007 by Maurice Clerc et al. Additionally
a number of ancillary routines are provided for easy testing
and graphics.

The package provides an implementation of PSO consistent
with the standard PSO 2007/2011 by Maurice Clerc et al.
Additionally a number of ancillary routines are provided for
easy testing and graphics.

Provides an implementation of particle swarm optimisation consistent with the standard PSO 2007/2011 by Maurice Clerc. Additionally a number of ancillary routines are provided for easy testing and graphics.

c(person("Krzysztof", "Ciupke", role = c("aut", "cre"),
email = "krzysztof.ciupke@polsl.pl")
)
Particle swarm optimization - a basic variant.

Parameter Space Partitioning MCMC for Global Model Evaluation
c(person("Lenard", "Dome",
email = "lenarddome@protonmail.ch",
role = c("aut", "cre")),
person("Andy Wills", role = c("aut")))
Implements an n-dimensional parameter space partitioning algorithm for evaluating the global behaviour of formal computational models as described by Pitt, Kim, Navarro and Myung (2006) <doi:10.1037/0033-295X.113.1.57>.
Lenard Dome [aut, cre],
Andy Wills [aut]