An infra-structure for estimating the predictive performance of
predictive models. In this context, it can also be used to compare and/or select
among different alternative ways of solving one or more predictive tasks. The
main goal of the package is to provide a generic infra-structure to estimate
the values of different metrics of predictive performance using different
estimation procedures. These estimation tasks can be applied to any solutions
(workflows) to the predictive tasks. The package provides easy to use standard
workflows that allow the usage of any available R modeling algorithm together
with some pre-defined data pre-processing steps and also prediction post-
processing methods. It also provides means for addressing issues related with
the statistical significance of the observed differences.
knitr, rmarkdown, devtools, e1071, DMwR, randomForest,
quantmod, nnet, mlbench, MASS

c(person("Fabian", "Grandke", email = "grafabian@gmail.com",
role = c("aut", "cre")),
person("Dirk", "Metzler", email = "metzler@bio.lmu.de",
role = "ths"))
Provides tools for linkage mapping in polyploids.
It implements the method PERGOLA, which is a fast, deterministic method to
calculate the order of markers in a linkage group.
knitr, gclus, dendextend, dendextendRcpp, Matrix, rmarkdown,
grDevices
Fabian Grandke [aut, cre],
Dirk Metzler [ths]

Enterprise Streamlined 'Shiny' Application Framework
c(
person("Constance", "Brett", email="connie@aggregate-genius.com", role = c("aut", "cre")),
person("Isaac", "Neuhaus", role = "aut", comment = "canvasXpress JavaScript Library Maintainer"),
person("Ger", "Inberg", role = c("ctb")),
person("Bristol-Meyers Squibb (BMS)", role = c("cph"))
)
An enterprise-targeted scalable and UI-standardized 'shiny' framework
including a variety of developer convenience functions with the goal of both
streamlining robust application development while assisting with creating a
consistent user experience regardless of application or developer.
Constance Brett [aut, cre],
Isaac Neuhaus [aut] (canvasXpress JavaScript Library Maintainer),
Ger Inberg [ctb],
Bristol-Meyers Squibb (BMS) [cph]