License: General Public License 2.0 or more recent. See file LICENSE for more information.
Packaged: Tue May  9 14:37:53 2006; kkiii

Description: MBESS implements methods that are especially useful to researchers working within the behavioral, educational, and social sciences (both substantive researchers and methodologists). Many of the methods contained within MBESS are applicable to quantitative research in general.
Packaged: Fri May 26 09:54:07 2006; kkiii

Packaged: Wed Jun 14 07:13:38 2006; kkiii

Packaged: Fri Jul 14 16:13:06 2006; kkiii

Packaged: Mon Aug 21 20:41:03 2006; kkiii

Packaged: Fri Dec  1 11:52:21 2006; laik

Packaged: Thu May 31 15:31:22 2007; kkiii

Packaged: Thu Dec  6 14:15:54 2007; laik

Packaged: Thu Feb 14 14:52:18 2008; laik

Packaged: Sun Nov 23 14:14:12 2008; laik

Suggests: MASS, nlme, gsl, sem, boot, matrixcalc
Description: MBESS implements methods that are especially useful to
researchers working within the behavioral, educational, and
social sciences (both substantive researchers and
methodologists), Many of the methods contained within MBESS are
applicable to quantitative research in general,

Suggests: MASS, sem, gsl, boot, nlme, matrixcalc

Suggests: MASS, sem, boot, nlme, gsl, lavaan, parallel, snow, OpenMx

Package: MBESS
Type: Package
Title: The MBESS R Package
Version: 4.0.0
Date: 2016-02-17
Authors@R: c(person("Ken", "Kelley", role=c("aut", "cre"), email="kkelley@nd.edu"))
Maintainer: Ken Kelley <kkelley@nd.edu>
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 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.
License: GPL-2 | GPL-3
URL: http://nd.edu/~kkelley/site/MBESS.html
NeedsCompilation: no
Packaged: 2016-02-17 14:37:33 UTC; kkelley
Author: Ken Kelley [aut, cre]
Repository: CRAN
Date/Publication: 2016-02-17 16:15:24