Flexible Graphical Assessment of Experimental Designs in R: The vdg Package

Pieter Schoonees, Niël le Roux and Roelof Coetzer

Journal of Statistical Software, 2016, vol. 074, issue i03

Abstract: The R package vdg provides a flexible interface for producing various graphical summaries of the prediction variance associated with specific linear model specifications and experimental designs. These methods include variance dispersion graphs, fraction of design space plots and quantile plots which can assist in choosing between a catalogue of candidate experimental designs. Instead of restrictive optimization methods used in traditional software to explore design regions, vdg utilizes sampling methods to introduce more flexibility. The package takes advantage of R's modern graphical abilities via ggplot2 (Wickham 2009), adds facilities for using a variety of distance methods, allows for more flexible model specifications and incorporates quantile regressions to help with model comparison.

Date: 2016-10-20
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v074i03/v74i03.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... i03/vdg_1.2.0.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v074i03/v74i03.R

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:jss:jstsof:v:074:i03

DOI: 10.18637/jss.v074.i03

Access Statistics for this article

Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis

More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().