MBESS

The MBESS R Package

Implements methods that 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 at this point MBESS 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 others, see <http://nd.edu/~kkelley/site/MBESS.html> for a detailed list of those that have contributed and other details.

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Description file content

Package
MBESS
Type
Package
Title
The MBESS R Package
Version
4.4.3
Date
2018-1-10
Maintainer
Ken Kelley
Depends
R (>= 3.2.0), stats
Imports
boot, gsl, lavaan, MASS, methods, mnormt, nlme, OpenMx, parallel, sem, semTools
Description
Implements methods that 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 at this point MBESS 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 others, see for a detailed list of those that have contributed and other details.
License
GPL-2 | GPL-3
URL
RoxygenNote
6.0.0
NeedsCompilation
no
Packaged
2018-01-10 21:05:40 UTC; kkelley
Author
Ken Kelley [aut, cre]
Repository
CRAN
Date/Publication
2018-01-10 23:37:02 UTC

install.packages('MBESS')

4.4.3

6 days ago

http://nd.edu/~kkelley/site/MBESS.html

Ken Kelley

GPL-2 | GPL-3

Depends on

R (>= 3.2.0), stats

Imports

boot, gsl, lavaan, MASS, methods, mnormt, nlme, OpenMx, parallel, sem, semTools

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