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Name: Ken Kelley
Type: User
Company: University of Notre Dame
Bio: Methodologist. Design / Measure / Analyze
Location: Notre Dame, Indiana USA
Name: Ken Kelley
Type: User
Company: University of Notre Dame
Bio: Methodologist. Design / Measure / Analyze
Location: Notre Dame, Indiana USA
AMCP is an R package that contains all of the data sets used in Maxwell, Delaney, & Kelley's (2018) \emph{Designing experiments and analyzing data: A model comparison perspective} (3rd edition). Information about the book is available at http://www.DesigningExperiments.com.
BUCSS is an R package for implementing Bias- and Uncertainty-Corrected Sample Size planning. BUCSS implements a method of correcting for publication bias and uncertainty when planning sample sizes in a future study from an original study. See Anderson, Kelley, & Maxwell (2017; Psychological Science, 28, 1547-1562).
Contrasts for Single Factor ANOVA Designs
Easy way to obtain critical values for a variety of needs
MBESS is an R Package, originally released in 2004, that implements methods that useful in designing research studies and analyzing data. MBESS is useful for effect sizes, confidence intervals, sample size planning, and mediation analysis.
A reimplementation and update of the MBESS R package.
SMSD is an R package for Sequential Methods for Study Design.
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