ExpDes: An R Package for ANOVA and Experimental Designs

An R Package for Simulation Experiments Evaluating Clinical Trial Designs

This paper presents an open-source application for evaluating competing clinical trial (CT) designs using simulations. The S4 system of classes and methods is utilized. Using object-oriented programming provides extensibility through careful, clear interface specification; using R, an open-source widely-used statistical language, makes the application extendible by the people who design CTs: bi...

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

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 restri...

Default Bayes factors for ANOVA designs

Bayes factors have been advocated as superior to p-values for assessing statistical evidence in data. Despite the advantages of Bayes factors and the drawbacks of p-values, inference by p-values is still nearly ubiquitous. One impediment to the adoption of Bayes factors is a lack of practical development, particularly a lack of ready-to-use formulas and algorithms. In this paper, we discuss and...

rdrobust: An R Package for Robust Nonparametric Inference in Regression-Discontinuity Designs

This article describes the R package rdrobust, which provides data-driven graphical and inference procedures for RD designs. The package includes three main functions: rdrobust, rdbwselect and rdplot. The first function (rdrobust) implements conventional local-polynomial RD treatment effect point estimators and confidence intervals, as well as robust bias-corrected confidence intervals, for ave...

PLANOR : an R package for the automatic generation of regular fractional factorial designs