Title: '2D plots of linear or integer programming models'
Authors@R: person("Lars", "Relund", email = "lars@relund.dk",
Description: Make 2D plots of the polyeder of a LP or IP problem, including
integer points and iso profit curve. Can also make a plot of a bi-objective

Title: '2D and 3D plots of linear mathematical programming models'
Description: Make 2D and 3D plots of the polytope of a LP, ILP or MILP problem, including
integer points and iso profit curve. Can also make a plot of the bi-objective
Imports: ggrepel, geometry, ggplot2, rgl, MASS, plyr
Suggests: tikzDevice, grid, gridExtra, knitr, rmarkdown

Title: Tools for 2D and 3D Plots of Single and Multi-Objective
Authors@R: person("Lars", "Relund Nielsen", email = "lars@relund.dk", role = c("aut", "cre"),
Description: Make 2D and 3D plots of linear programming (LP),
integer linear programming (ILP), or mixed integer linear programming (MILP) models
with up to three objectives. Plots of both the solution and criterion space are possible.
For instance the non-dominated (Pareto) set for bi-objective LP/ILP/MILP programming models
Imports: ggrepel, geometry, ggplot2, rgl, MASS, Matrix, grDevices,
Suggests: tikzDevice, grid, gridExtra, knitr, rmarkdown, roxygen2,
Maintainer: Lars Relund Nielsen <lars@relund.dk>

(see vignettes for an overview). The package also contains an function for checking if a point
stats, Rfast, plyr, tidyselect, tidyr, tibble, purrr, dplyr,
ggsci, tidyverse, magrittr, scales, pdftools, testthat (>=

Title: Generalized Mann-Whitney Type Tests
Depends: R (>= 2.15.2), parallel, clinfun
Description: Generalized Mann-Whitney type tests based on probabilistic

Depends: R (>= 2.15.2), clinfun, Rcpp (>= 0.9.13), RcppArmadillo (>=

Depends: R (>= 2.15.2), parallel, clinfun, Rcpp (>= 0.9.13),

indices and new diagnostic plots, for the underlying manuscript see Fischer, Oja (2015) <doi:10.18637/jss.v065.i09>.

Title: Batch Effect Detection via Guided Principal Components Analysis
Description: This package implements guided principal components analysis for the detection of batch effects in high-throughput data.