Allows to build and train simple Process Mining (PM) models. The aim is to support PM specifically for the clinical domain from both administrative and clinical data.

Permutation Significance for Random Forests
Estimate False Discovery Rates (FDRs) for importance metrics from random forest runs.
dplyr, multtest, ggplot2, permute, randomForest, reshape2,
magrittr

ggplot2, permute, randomForest, reshape2, magrittr

Estimate False Discovery Rates (FDRs) for importance metrics from
random forest runs.
ggplot2, permute, randomForest, reshape2, dplyr(>= 0.4.1),
multtest(>= 2.25.0)

plyr, MASS, utils, stats, graphics, R (>= 2.10)
Xavier Robin, Natacha Turck, Alexandre Hainard, Natalia
Tiberti, Frédérique Lisacek, Jean-Charles Sanchez and Markus
Müller
Tools for visualizing, smoothing and comparing receiver
operating characteristic (ROC curves). (Partial) area under the
curve (AUC) can be compared with statistical tests based on
U-statistics or bootstrap. Confidence intervals can be computed
for (p)AUC or ROC curves.

plyr, utils, methods, Rcpp (>= 0.11.1), ggplot2,
microbenchmark, tcltk, MASS, logcondens, doParallel, testthat
c(person("Xavier", "Robin", role = c("cre", "aut"),
email = "robin@lindinglab.org"),
person("Natacha", "Turck", role = "aut"),
person("Alexandre", "Hainard", role = "aut"),
person("Natalia", "Tiberti", role = "aut"),
person("Frédérique", "Lisacek", role = "aut"),
person("Jean-Charles", "Sanchez", role = "aut"),
person("Markus", "Müller", role = "aut"),
person("Stefan", "Siegert", role = "ctb",
comment = "Fast DeLong code",
email = "stefan_siegert@gmx.de"))
Tools for visualizing, smoothing and comparing receiver operating characteristic (ROC curves). (Partial) area under the curve (AUC) can be compared with statistical tests based on U-statistics or bootstrap. Confidence intervals can be computed for (p)AUC or ROC curves.
Xavier Robin [cre, aut],
Natacha Turck [aut],
Alexandre Hainard [aut],
Natalia Tiberti [aut],
Frédérique Lisacek [aut],
Jean-Charles Sanchez [aut],
Markus Müller [aut],
Stefan Siegert [ctb] (Fast DeLong code)