Title: An Infra-Structure for Performance Estimation of Predictive
Description: 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.

Description: 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.
Imports: ggplot2 (>= 0.9.3), parallelMap (>= 1.3), parallel, tidyr (>=
Suggests: knitr, rmarkdown, devtools, e1071, DMwR, randomForest,

Title: Toolbox for Polyploid Genetic Data
Authors@R: c(person("Fabian", "Grandke", email = "grafabian@gmail.com",
person("Dirk", "Metzler", email = "metzler@bio.lmu.de",
Description: 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.
Suggests: knitr, gclus, dendextend, dendextendRcpp, Matrix, rmarkdown,