Depends: R (>= 3.0.0), MASS, matrixcalc, plyr, ggplot2, reshape2
Description: Inference for high-dimensional repeated measures in factorial designs.

Description: Methods for testing main and interaction effects in possibly
high-dimensional repeated measures in factorial designs. The observations
of the subjects are assumed to be multivariate normal.
It is possible to use up to 2 whole- and 2 subplot factors.

It is possible to use up to 2 whole- and 3 subplot factors.

Depends: R (>= 3.4.0), MASS, matrixcalc, plyr, ggplot2
Imports: xtable, reshape2, tcltk, cairoDevice, RGtk2Extras

Suggests: RGtk2 (>= 2.8.0), cairoDevice, RGtk2Extras

Imports: xtable, reshape2, tcltk, data.table, pracma
high-dimensional parametric or nonparametric repeated measures in factorial designs.
The observations of the subjects are assumed to be multivariate normal if using the parametric test.
The nonparametric version tests with regard to nonparametric relative effects (based on pseudo-ranks).

Imports: xtable, reshape2, tcltk, data.table, doBy, mvtnorm, Rcpp (>=
Suggests: RGtk2 (>= 2.8.0), cairoDevice, RGtk2Extras, testthat
Author: Martin Happ [aut, cre] (<https://orcid.org/0000-0003-0009-2665>),

Suggests: RGtk2 (>= 2.8.0), cairoDevice, testthat
high-dimensional parametric or nonparametric repeated measures in factorial designs for univariate or multivariate data.

Title: Health Related Quality of Life Analysis
Author: Josu Najera-Zuloaga <jnajera@bcamath.org>, Dae-Jin Lee <dlee@bcamath.org>, Inmaculada Arostegui <inmaculada.arostegui@ehu.es>
Description: Offers tools and modelling approaches for binomial data with overdispersion, with particular interest in Health Related Quality of Life (HRQoL) questionnaires regression analysis.
Imports: fmsb, car, RColorBrewer, matrixcalc, rootSolve, numDeriv,

Title: Datasets, Functions and Scripts for Semiparametric Regression
Supporting Harezlak, Ruppert & Wand (2018)
Authors@R: c(person("Jaroslaw", "Harezlak", role = "aut", email = "harezlak@iu.edu"),
person("David", "Ruppert", role = "aut", email = "dr24@cornell.edu"),
person("Matt P.", "Wand", role = c("aut","cre"), email = "matt.wand@uts.edu.au"))
Maintainer: Matt P. Wand <matt.wand@uts.edu.au>
Depends: R (>= 2.10), KernSmooth, grDevices, graphics, splines, stats
Description: The book "Semiparametric Regression with R" by J. Harezlak, D. Ruppert & M.P. Wand (2018, Springer; ISBN: 978-1-4939-8851-8) makes use of datasets and scripts to explain semiparametric regression concepts. Each of the book's scripts are contained in this package as well as datasets that are not within other R packages. Functions that aid semiparametric regression analysis are also included.