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MBESS
The MBESS R Package
View on CRAN: Click
here
Download and install MBESS package within the R console
Install from CRAN:
install.packages("MBESS")
Install from Github:
library("remotes")
install_github("cran/MBESS") Install by package version:
library("remotes")
install_version("MBESS", "4.9.3") Attach the package and use:
library("MBESS")
Maintained by
Ken Kelley
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
https://www3.nd.edu/~kkelley/site/MBESS.html . 10.32614/CRAN.package.MBESS . https://www3.nd.edu/~kkelley/site/MBESS.html . MBESS results . MBESS.pdf . MBESS_4.9.3.tar.gz . MBESS_4.9.3.zip . MBESS_4.9.3.zip . MBESS_4.9.3.zip . MBESS_4.9.3.tgz . MBESS_4.9.3.tgz . MBESS_4.9.3.tgz . MBESS_4.9.3.tgz . MBESS_4.9.3.tgz . MBESS_4.9.3.tgz . MBESS archive . https://CRAN.R-project.org/package=MBESS .
First Published: 2006-05-06
Latest Update: 2023-10-26
Description:
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 others, see for a detailed
list of those that have contributed and other details.
How to cite:
Ken Kelley (2006). MBESS: The MBESS R Package. R package version 4.9.3, https://cran.r-project.org/web/packages/MBESS. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.0.1 (2006-05-06 14:30), 0.0.2 (2006-05-11 09:17), 0.0.3 (2006-05-29 09:49), 0.0.4 (2006-06-16 16:04), 0.0.5 (2006-07-19 18:01), 0.0.7 (2006-08-22 12:10), 0.0.8 (2006-12-04 22:00), 0.0.9 (2007-06-02 18:39), 1.0.0 (2007-12-07 09:41), 1.0.1 (2008-02-16 16:15), 2.0.0 (2008-11-24 20:54), 3.0.0 (2010-05-01 17:59), 3.0.1 (2010-05-05 10:08), 3.0.2 (2010-10-01 10:45), 3.0.3 (2010-10-07 13:25), 3.1.0 (2010-10-26 14:10), 3.1.1 (2010-11-07 09:22), 3.2.0 (2010-11-22 08:50), 3.2.1 (2012-08-31 16:00), 3.3.2 (2012-09-03 07:08), 3.3.3 (2012-12-17 06:09), 4.0.0 (2016-02-17 16:15), 4.1.0 (2016-09-23 22:40), 4.2.0 (2017-01-27 10:17), 4.3.0 (2017-06-06 18:00), 4.4.0 (2017-09-22 18:13), 4.4.1 (2017-11-01 08:39), 4.4.2 (2017-12-19 21:22), 4.4.3 (2018-01-11 00:37), 4.5.0 (2019-05-14 18:10), 4.5.1 (2019-05-17 15:40), 4.6.0 (2019-06-12 22:30), 4.7.0 (2020-05-15 22:30), 4.8.0 (2020-08-05 06:50), 4.8.1 (2021-10-16 16:50), 4.9.0 (2022-02-09 18:30), 4.9.1 (2022-07-11 14:20), 4.9.2 (2022-09-19 18:06)
Other packages that cited MBESS R package
View MBESS citation profile
Other R packages that MBESS depends,
imports, suggests or enhances
Complete documentation for MBESS
Functions, R codes and Examples using
the MBESS R package
Some associated functions: CFA.1 . Cor.Mat.Lomax . Cor.Mat.MM . Expected.R2 . F.and.R2.Noncentral.Conversion . Gardner.LD . HS . MBESS-package . Sigma.2.SigmaStar . Variance.R2 . aipe.smd . ancova.random.data . ci.R . ci.R2 . ci.c.ancova . ci.c . ci.cc . ci.cv . ci.omega2 . ci.pvaf . ci.rc . ci.reg.coef . ci.reliability . ci.rmsea . ci.sc.ancova . ci.sc . ci.sm . ci.smd.c . ci.smd . ci.snr . ci.src . ci.srsnr . conf.limits.nc.chisq . conf.limits.ncf . conf.limits.nct . cor2cov . covmat.from.cfm . cv . intr.plot.2d . intr.plot . mediation.effect.bar.plot . mediation.effect.plot . mediation . mr.cv . mr.smd . power.density.equivalence.md . power.equivalence.md . power.equivalence.md.plot . prof.salary . s.u . signal.to.noise.R2 . smd.c . smd . ss.aipe.R2 . ss.aipe.R2.sensitivity . ss.aipe.c.ancova . ss.aipe.c.ancova.sensitivity . ss.aipe.c . ss.aipe.cv . ss.aipe.cv.sensitivity . ss.aipe.pcm . ss.aipe.rc . ss.aipe.rc.sensitivity . ss.aipe.reg.coef . ss.aipe.reg.coef.sensitivity . ss.aipe.reliability . ss.aipe.rmsea . ss.aipe.rmsea.sensitivity . ss.aipe.sc.ancova . ss.aipe.sc.ancova.sensitivity . ss.aipe.sc . ss.aipe.sc.sensitivity . ss.aipe.sem.path . ss.aipe.sem.path.sensitiv . ss.aipe.sm . ss.aipe.sm.sensitivity . ss.aipe.smd . ss.aipe.smd.sensitivity . ss.aipe.src . ss.aipe.src.sensitivity . ss.power.R2 . ss.power.pcm . ss.power.rc . ss.power.reg.coef . ss.power.sem . ssAIPECRD . ssAIPECRDES . t.and.smd.conversion . theta.2.Sigma.theta . transform_Z.r . transform_r.Z . upsilon . var.ete . verify.ss.aipe.R2 . vit.fitted . vit .
Some associated R codes: CFA.1.R . Expected.R2.R . F2Rsquare.R . Lambda2Rsquare.R . Rsquare2F.R . Rsquare2Lambda.R . Sigma.2.SigmaStar.R . Variance.R2.R . ancova.random.data.R . ci.R.R . ci.R2.R . ci.c.R . ci.c.ancova.R . ci.cc.R . ci.cv.R . ci.omega2.R . ci.pvaf.R . ci.rc.R . ci.reg.coef.R . ci.reliability.R . ci.rmsea.R . ci.sc.R . ci.sc.ancova.R . ci.sm.R . ci.smd.R . ci.smd.c.R . ci.snr.R . ci.src.R . ci.srsnr.R . conf.limits.nc.chisq.R . conf.limits.ncf.R . conf.limits.nct.R . cor2cov.R . covmat.from.cfm.R . cv.R . delta2lambda.R . intr.plot.2d.R . intr.plot.R . lambda2delta.R . mediation.R . mediation.effect.bar.plot.R . mediation.effect.plot.R . mr.cv.R . mr.smd.R . power.density.equivalence.md.R . power.equivalence.md.R . power.equivalence.md.plot.R . s.u.R . signal.to.noise.R2.R . smd.R . smd.c.R . ss.aipe.R2.R . ss.aipe.R2.sensitivity.R . ss.aipe.c.R . ss.aipe.c.ancova.R . ss.aipe.c.ancova.sensitivity.R . ss.aipe.cv.R . ss.aipe.cv.sensitivity.R . ss.aipe.pcm.R . ss.aipe.rc.R . ss.aipe.rc.sensitivity.R . ss.aipe.reg.coef.R . ss.aipe.reg.coef.sensitivity.R . ss.aipe.reliability.R . ss.aipe.rmsea.R . ss.aipe.rmsea.sensitivity.R . ss.aipe.sc.R . ss.aipe.sc.ancova.R . ss.aipe.sc.ancova.sensitivity.R . ss.aipe.sc.sensitivity.R . ss.aipe.sem.path.R . ss.aipe.sem.path.sensitiv.R . ss.aipe.sm.R . ss.aipe.sm.sensitivity.R . ss.aipe.smd.R . ss.aipe.smd.full.R . ss.aipe.smd.lower.R . ss.aipe.smd.sensitivity.R . ss.aipe.smd.upper.R . ss.aipe.src.R . ss.aipe.src.sensitivity.R . ss.power.R2.R . ss.power.pcm.R . ss.power.rc.R . ss.power.reg.coef.R . ss.power.sem.R . theta.2.Sigma.theta.R . transform_Z.r.R . transform_r.Z.R . upsilon.R . var.ete.R . verify.ss.aipe.R2.R . vit.R . vit.fitted.R . widthsscrd.R . Full MBESS package functions and examples
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