Package: FrF2.catlg128
Title: Catalogues of resolution IV 128 run 2-level fractional
factorials up to 33 factors that do have 5-letter words
Version: 1.2-1
Depends: R (>= 2.13.0), FrF2 (>= 1.4)
Date: 2013-04-19
Author: Ulrike Groemping
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>
Description: This package provides catalogues of resolution IV regular
fractional factorial designs in 128 runs for up to 33 2-level
factors. The catalogues are complete, excluding resolution IV
designs without 5-letter words, because these do not add value
for a search for clear designs. The previous package version
1.0 with complete catalogues up to 24 runs (24 runs and a
namespace added later) can be downloaded from the authors
website.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
Encoding: latin1
URL: http://prof.beuth-hochschule.de/groemping/DoE/
http://prof.beuth-hochschule.de/groemping/
Packaged: 2013-04-19 14:41:48 UTC; groemping
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-04-19 17:27:03
Package: RcmdrPlugin.DoE
Version: 0.12-3
Date: 2014-08-28
Title: R Commander Plugin for (industrial) Design of Experiments
Authors@R: c(person("Ulrike", "Groemping", role = c("aut", "cre"), email =
"groemping@beuth-hochschule.de"), person("Fox", "John", role = "ctb"))
Maintainer: Ulrike Groemping <groemping@beuth-hochschule.de>
Depends: R (>= 2.10.0), utils, DoE.base (>= 0.22-8), FrF2 (>= 1.2-10), DoE.wrapper (>= 0.8-6), tcltk, relimp
Imports: Rcmdr, RcmdrMisc
Suggests: FrF2.catlg128
RcmdrModels: rsm
Description: The package provides a platform-independent GUI for design of experiments.
It is implemented as a plugin to the R-Commander, which is a more general
graphical user interface for statistics in R based on tcl/tk.
DoE functionality can be accessed through the menu Design that is added to the
R-Commander menus.
License: GPL (>= 2)
Encoding: latin1
URL: http://prof.beuth-hochschule.de/groemping/DoE
Packaged: 2014-08-28 15:08:39 UTC; groemping
Author: Ulrike Groemping [aut, cre],
Fox John [ctb]
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-08-28 19:56:17
Encoding: latin1
Package: simrel
Type: Package
Title: Linear Model Data Simulation and Design of Computer Experiments
Version: 1.0-1
Date: 2014-11-28
Author: Solve Sæbø
Maintainer: Solve Sæbø <solve.sabo@nmbu.no>
Description: Facilitates data simulation from a random regression model where the data properties can be controlled by a few input parameters. The data simulation is based on the concept of relevant latent components and relevant predictors, and was developed for the purpose of testing methods for variable selection for prediction. Included are also functions for designing computer experiments in order to investigate the effects of the data properties on the performance of the tested methods. The design is constructed using the Multi-level Binary Replacement (MBR) design approach which makes it possible to set up fractional designs for multi-factor problems with potentially many levels for each factor.
License: GPL-2
Repository: CRAN
Depends: FrF2, sfsmisc
Suggests: pls
Packaged: 2014-11-28 23:11:24 UTC; solvsa
NeedsCompilation: no
Date/Publication: 2014-11-29 07:59:54
Package: pid
Title: Process Improvement using Data
Version: 0.36
Date: 2015-08-06
Authors@R: c(person("Kevin", "Dunn", role = c("aut", "cre"),
email = "kevin.dunn@mcmaster.ca"))
Author: Kevin Dunn [aut, cre]
Maintainer: Kevin Dunn <kevin.dunn@mcmaster.ca>
Depends: R (>= 2.15.0), ggplot2, stats, png, FrF2, DoE.base
Suggests: MASS
Description: A collection of scripts and data files for the statistics text:
"Process Improvement using Data". The package contains code for designed
experiments, data sets and other convenience functions used in the book.
License: BSD_2_clause + file LICENSE
URL: http://learnche.org/pid
NeedsCompilation: no
BugReports: https://bitbucket.org/kevindunn/r-pid
Packaged: 2015-08-07 03:17:49 UTC; kevindunn
Repository: CRAN
Date/Publication: 2015-08-07 09:01:15
providing 
.