yelleKneK

Ken Kelley's repositories

MBESS

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.

Language:R200

MBESSR

A reimplementation and update of the MBESS R package.

100

AMCP

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.

Language:R000

BUCSS

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).