MBESS - The MBESS R Package
Implements methods that are useful in designing research
studies and analyzing data, with particular emphasis on methods
that are developed for or used within the behavioral,
educational, and social sciences (broadly defined). That being
said, many of the methods implemented within MBESS are
applicable to a wide variety of disciplines. MBESS has a suite
of functions for a variety of related topics, such as effect
sizes, confidence intervals for effect sizes (including
standardized effect sizes and noncentral effect sizes), sample
size planning (from the accuracy in parameter estimation
[AIPE], power analytic, equivalence, and minimum-risk point
estimation perspectives), mediation analysis, various
properties of distributions, and a variety of utility
functions. MBESS (pronounced 'em-bes') was originally an
acronym for 'Methods for the Behavioral, Educational, and
Social Sciences,' but MBESS became more general and now
contains methods applicable and used in a wide variety of
fields and is an orphan acronym, in the sense that what was an
acronym is now literally its name. MBESS has greatly benefited
from the contributions of many people over the years, who are
acknowledged in the package documentation.
