MBESS: The MBESS R Package
Version 4.2.0

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.

Browse man pages Browse package API and functions Browse package files

AuthorKen Kelley [aut, cre]
Date of publication2017-01-27 10:17:43
MaintainerKen Kelley <kkelley@nd.edu>
LicenseGPL-2 | GPL-3
Version4.2.0
URL http://nd.edu/~kkelley/site/MBESS.html
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("MBESS")

Man pages

aipe.smd: Sample size planning for the standardized mean different from...
ancova.random.data: Generate random data for an ANCOVA model
CFA.1: One-factor confirmatory factor analysis model
ci.c: Confidence interval for a contrast in a fixed effects ANOVA
ci.c.ancova: Confidence interval for an (unstandardized) contrast in...
ci.cc: Confidence interval for the population correlation...
ci.cv: Confidence interval for the coefficient of variation
ci.pvaf: Confidence Interval for the Proportion of Variance Accounted...
ci.R: Confidence interval for the multiple correlation coefficient
ci.R2: Confidence interval for the population squared multiple...
ci.rc: Confidence Interval for a Regression Coefficient
ci.reg.coef: Confidence interval for a regression coefficient
ci.reliability: Confidence Interval for a Reliability Coefficient
ci.rmsea: Confidence interval for the population root mean square error...
ci.sc: Confidence Interval for a Standardized Contrast in a Fixed...
ci.sc.ancova: Confidence interval for a standardized contrast in ANCOVA...
ci.sm: Confidence Interval for the Standardized Mean
ci.smd: Confidence limits for the standardized mean difference.
ci.smd.c: Confidence limits for the standardized mean difference using...
ci.snr: Confidence Interval for the Signal-To-Noise Ratio
ci.src: Confidence Interval for a Standardized Regression Coefficient
ci.srsnr: Confidence Interval for the Square Root of the...
conf.limits.nc.chisq: Confidence limits for noncentral chi square parameters
conf.limits.ncf: Confidence limits for noncentral F parameters
conf.limits.nct: Confidence limits for a noncentrality parameter from a...
cor2cov: Correlation Matrix to Covariance Matrix Conversion
Cor.Mat.Lomax: Correlation matrix for Lomax (1983) data set
Cor.Mat.MM: Correlation matrix for Maruyama & McGarvey (1980) data set
covmat.from.cfm: Covariance matrix from confirmatory (single) factor model.
cv: Function to calculate the regular (which is also biased)...
Expected.R2: Expected value of the squared multiple correlation...
F.and.R2.Noncentral.Conversion: Conversion functions from noncentral noncentral values to...
Gardner.LD: The Gardner learning data, which was used by L.R. Tucker
HS.data: Complete Data Set of Holzinger and Swineford's (1939) Study
intr.plot: Regression Surface Containing Interaction
intr.plot.2d: Plotting Conditional Regression Lines with Interactions in...
MBESS-package: MBESS
mediation: Effect sizes and confidence intervals in a mediation model
mediation.effect.bar.plot: Bar plots of mediation effects
mediation.effect.plot: Visualizing mediation effects
mr.cv: Minimum risk point estimation of the population coefficient...
mr.smd: Minimum risk point estimation of the population standardized...
power.density.equivalence.md: Density for power of two one-sided tests procedure (TOST) for...
power.equivalence.md: Power of Two One-Sided Tests Procedure (TOST) for Equivalence
power.equivalence.md.plot: Plot power of Two One-Sided Tests Procedure (TOST) for...
prof.salary: Cohen et. al. (2003)'s professor salary data set
Sigma.2.SigmaStar: Construct a covariance matrix with specified error of...
signal.to.noise.R2: Signal to noise using squared multiple correlation...
smd: Standardized mean difference
smd.c: Standardized mean difference using the control group as the...
ss.aipe.c: Sample size planning for an ANOVA contrast from the Accuracy...
ss.aipe.c.ancova: Sample size planning for a contrast in randomized ANCOVA from...
ss.aipe.c.ancova.sensitivity: Sensitivity analysis for sample size planning for the...
ssAIPECRD: Find target sample sizes for the accuracy in unstandardized...
ssAIPECRDES: Find target sample sizes for the accuracy in standardized...
ss.aipe.cv: Sample size planning for the coefficient of variation given...
ss.aipe.cv.sensitivity: Sensitivity analysis for sample size planning given the...
ss.aipe.pcm: Sample size planning for polynomial change models in...
ss.aipe.R2: Sample Size Planning for Accuracy in Parameter Estimation for...
ss.aipe.R2.sensitivity: Sensitivity analysis for sample size planning with the goal...
ss.aipe.rc: Sample size necessary for the accuracy in parameter...
ss.aipe.rc.sensitivity: Sensitivity analysis for sample size planing from the...
ss.aipe.reg.coef: Sample size necessary for the accuracy in parameter...
ss.aipe.reg.coef.sensitivity: Sensitivity analysis for sample size planning from the...
ss.aipe.reliability: Sample Size Planning for Accuracy in Parameter Estimation for...
ss.aipe.rmsea: Sample size planning for RMSEA in SEM
ss.aipe.rmsea.sensitivity: a priori Monte Carlo simulation for sample size planning for...
ss.aipe.sc: Sample size planning for Accuracy in Parameter Estimation...
ss.aipe.sc.ancova: Sample size planning from the AIPE perspective for...
ss.aipe.sc.ancova.sensitivity: Sensitivity analysis for the sample size planning method for...
ss.aipe.sc.sensitivity: Sensitivity analysis for sample size planning for the...
ss.aipe.sem.path: Sample size planning for SEM targeted effects
ss.aipe.sem.path.sensitiv: a priori Monte Carlo simulation for sample size planning for...
ss.aipe.sm: Sample size planning for Accuracy in Parameter Estimation...
ss.aipe.smd: Sample size planning for the standardized mean difference...
ss.aipe.smd.sensitivity: Sensitivity analysis for sample size given the Accuracy in...
ss.aipe.sm.sensitivity: Sensitivity analysis for sample size planning for the...
ss.aipe.src: sample size necessary for the accuracy in parameter...
ss.aipe.src.sensitivity: Sensitivity analysis for sample size planing from the...
ss.power.pcm: Sample size planning for power for polynomial change models
ss.power.R2: Function to plan sample size so that the test of the squared...
ss.power.rc: sample size for a targeted regression coefficient
ss.power.reg.coef: sample size for a targeted regression coefficient
ss.power.sem: Sample size planning for structural equation modeling from...
s.u: Unbiased estimate of the population standard deviation
t.and.smd.conversion: Conversion functions for noncentral t-distribution
theta.2.Sigma.theta: Compute the model-implied covariance matrix of an SEM model
transform_r.Z: Transform a correlation coefficient (r) into the scale of...
transform_Z.r: Transform Fischer's _Z_ into the scale of a correlation...
upsilon: A function for estimating the mediation effect size as...
Variance.R2: Variance of squared multiple correlation coefficient
verify.ss.aipe.R2: Internal MBESS function for verifying the sample size in...
vit: Visualize individual trajectories
vit.fitted: Visualize individual trajectories with fitted curve and...

Functions

CFA.1 Man page Source code
Cor.Mat.Lomax Man page
Cor.Mat.MM Man page
Expected.R2 Man page Source code
F2Rsquare Man page
Gardner.LD Man page
HS.data Man page
Lambda2Rsquare Man page
MBES Man page
MBESS Man page
Rsquare2F Man page
Rsquare2Lambda Man page
Sigma.2.SigmaStar Man page Source code
Variance.R2 Man page Source code
ancova.random.data Man page Source code
catOmega Source code
ccCIrelia Source code
ci.R Man page Source code
ci.R2 Man page Source code
ci.c Man page Source code
ci.c.ancova Man page Source code
ci.cc Man page Source code
ci.cv Man page Source code
ci.pvaf Man page Source code
ci.rc Man page Source code
ci.reg.coef Man page
ci.reliability Man page Source code
ci.reliability.cov Source code
ci.reliability.data Source code
ci.rmsea Man page Source code
ci.sc Man page Source code
ci.sc.ancova Man page Source code
ci.sm Man page
ci.smd Man page Source code
ci.smd.c Man page Source code
ci.snr Man page
ci.src Man page Source code
ci.srsnr Man page
conf.limits.nc.chisq Man page
conf.limits.ncf Man page
conf.limits.nct Man page Source code
cor2cov Man page
costCRD Source code
covmat.from.cfm Man page Source code
createDataCRD Source code
createDataCRDWide Source code
cv Man page Source code
delta2lambda Man page Source code
fMethod Source code
find.alpha Source code
findMinCostCRDDiff Source code
findMinCostCRDES Source code
findMinWidthCRDDiff Source code
findMinWidthCRDES Source code
findNclusCRDBudget Source code
findNclusCRDDiff Source code
findNclusCRDES Source code
findNindivCRDBudget Source code
findNindivCRDDiff Source code
findNindivCRDES Source code
findNindivVec Source code
findS Source code
findWidthCRDDiff Source code
findWidthCRDES Source code
fisherCIrelia Source code
getH Source code
getH.cov Source code
getThreshold Source code
hkCIrelia Source code
intr.plot Man page
intr.plot.2d Man page
lambda2delta Man page Source code
likCIESCRD Source code
likCIESCRDunequal Source code
llCovAlpha Source code
llCovOmega Source code
llDataAlpha Source code
llDataOmega Source code
logisticT Source code
mbes Man page
mbess Man page
mediation Man page Source code
mediation.effect.bar.plot Man page Source code
mediation.effect.plot Man page Source code
mr.cv Man page Source code
mr.smd Man page Source code
nterval.type11_type1 Source code
nterval.type31_32_type1 Source code
p2 Source code
polycorLavaan Source code
power.density.equivalence.md Man page
power.equivalence.md Man page
power.equivalence.md.plot Man page
prof.salary Man page
refit Source code
reportCRD Source code
run.cfa Source code
run.cfa.cov Source code
runrepWidthESCRD Source code
s.u Man page Source code
seReliabilityAdf Source code
signal.to.noise.R2 Man page Source code
smd Man page Source code
smd.c Man page Source code
ss.aipe.R2 Man page Source code
ss.aipe.R2.sensitivity Man page Source code
ss.aipe.c Man page Source code
ss.aipe.c.ancova Man page Source code
ss.aipe.c.ancova.sensitivity Man page Source code
ss.aipe.crd.both.fixedbudget Man page Source code
ss.aipe.crd.both.fixedwidth Man page Source code
ss.aipe.crd.es.both.fixedbudget Man page Source code
ss.aipe.crd.es.both.fixedwidth Man page Source code
ss.aipe.crd.es.nclus.fixedbudget Man page Source code
ss.aipe.crd.es.nclus.fixedwidth Man page Source code
ss.aipe.crd.es.nindiv.fixedbudget Man page Source code
ss.aipe.crd.es.nindiv.fixedwidth Man page Source code
ss.aipe.crd.nclus.fixedbudget Man page Source code
ss.aipe.crd.nclus.fixedwidth Man page Source code
ss.aipe.crd.nindiv.fixedbudget Man page Source code
ss.aipe.crd.nindiv.fixedwidth Man page Source code
ss.aipe.cv Man page Source code
ss.aipe.cv.sensitivity Man page Source code
ss.aipe.pcm Man page Source code
ss.aipe.rc Man page Source code
ss.aipe.rc.sensitivity Man page Source code
ss.aipe.reg.coef Man page Source code
ss.aipe.reg.coef.sensitivity Man page
ss.aipe.reliability Man page Source code
ss.aipe.rmsea Man page Source code
ss.aipe.rmsea.sensitivity Man page Source code
ss.aipe.sc Man page Source code
ss.aipe.sc.ancova Man page Source code
ss.aipe.sc.ancova.sensitivity Man page
ss.aipe.sc.sensitivity Man page
ss.aipe.sem.path Man page
ss.aipe.sem.path.sensitiv Man page
ss.aipe.sm Man page Source code
ss.aipe.sm.sensitivity Man page Source code
ss.aipe.smd Man page
ss.aipe.smd.full Man page Source code
ss.aipe.smd.lower Man page Source code
ss.aipe.smd.sensitivity Man page Source code
ss.aipe.smd.upper Man page Source code
ss.aipe.src Man page Source code
ss.aipe.src.sensitivity Man page Source code
ss.power.R2 Man page Source code
ss.power.pcm Man page Source code
ss.power.rc Man page
ss.power.reg.coef Man page Source code
ss.power.sem Man page Source code
theta.2.Sigma.theta Man page
transform_Z.r Man page Source code
transform_r.Z Man page Source code
translateinterval.type Source code
upsilon Man page Source code
varCRDDiff Source code
verify.ss.aipe.R2 Man page Source code
vit Man page
vit.fitted Man page
wideFormat Source code
wideFormatUnequal Source code

Files

NAMESPACE
data
data/Cor.Mat.MM.rda
data/Gardner.LD.rda
data/prof.salary.rda
data/Cor.Mat.Lomax.rda
data/HS.data.rda
R
R/intr.plot.R
R/ci.cc.R
R/widthsscrd.R
R/transform_r.Z.R
R/ci.cv.R
R/ss.power.rc.R
R/mr.smd.R
R/mediation.R
R/power.equivalence.md.R
R/conf.limits.ncf.R
R/ss.aipe.sc.R
R/verify.ss.aipe.R2.R
R/Sigma.2.SigmaStar.R
R/ci.pvaf.R
R/ss.aipe.smd.R
R/F2Rsquare.R
R/ci.rmsea.R
R/mediation.effect.plot.R
R/conf.limits.nct.R
R/ss.aipe.c.R
R/cv.R
R/ci.sm.R
R/ci.rc.R
R/ci.srsnr.R
R/vit.fitted.R
R/ss.aipe.sem.path.sensitiv.R
R/ss.aipe.smd.lower.R
R/power.equivalence.md.plot.R
R/mediation.effect.bar.plot.R
R/ci.reliability.R
R/conf.limits.nc.chisq.R
R/signal.to.noise.R2.R
R/ss.aipe.cv.R
R/ss.aipe.rc.sensitivity.R
R/s.u.R
R/ss.aipe.c.ancova.R
R/ss.aipe.src.R
R/Lambda2Rsquare.R
R/ss.power.reg.coef.R
R/ci.src.R
R/ss.aipe.sc.ancova.R
R/ss.aipe.R2.sensitivity.R
R/ss.aipe.smd.sensitivity.R
R/ss.aipe.rmsea.sensitivity.R
R/ss.power.sem.R
R/ci.R.R
R/ci.snr.R
R/ci.c.ancova.R
R/ss.aipe.reg.coef.sensitivity.R
R/ss.aipe.smd.upper.R
R/ci.R2.R
R/smd.R
R/ss.aipe.R2.R
R/ss.aipe.reliability.R
R/intr.plot.2d.R
R/ss.aipe.sc.ancova.sensitivity.R
R/ss.aipe.reg.coef.R
R/smd.c.R
R/Rsquare2Lambda.R
R/ci.smd.c.R
R/Variance.R2.R
R/vit.R
R/upsilon.R
R/ss.aipe.sc.sensitivity.R
R/transform_Z.r.R
R/CFA.1.R
R/mr.cv.R
R/ss.aipe.smd.full.R
R/ancova.random.data.R
R/ci.reg.coef.R
R/delta2lambda.R
R/Expected.R2.R
R/ss.aipe.c.ancova.sensitivity.R
R/ss.aipe.rc.R
R/ci.smd.R
R/ss.aipe.cv.sensitivity.R
R/ss.aipe.sem.path.R
R/ss.aipe.rmsea.R
R/ss.aipe.sm.R
R/cor2cov.R
R/ci.sc.ancova.R
R/ss.power.R2.R
R/ss.aipe.src.sensitivity.R
R/lambda2delta.R
R/ss.power.pcm.R
R/power.density.equivalence.md.R
R/ci.sc.R
R/ss.aipe.sm.sensitivity.R
R/ss.aipe.pcm.R
R/Rsquare2F.R
R/ci.c.R
R/covmat.from.cfm.R
R/theta.2.Sigma.theta.R
MD5
DESCRIPTION
man
man/t.and.smd.conversion.Rd
man/ss.aipe.pcm.Rd
man/ci.cv.Rd
man/ssAIPECRD.Rd
man/smd.Rd
man/ss.power.R2.Rd
man/mediation.Rd
man/ss.aipe.rc.sensitivity.Rd
man/ci.c.ancova.Rd
man/cv.Rd
man/ss.aipe.src.sensitivity.Rd
man/ss.aipe.smd.sensitivity.Rd
man/Expected.R2.Rd
man/ci.rc.Rd
man/ci.reg.coef.Rd
man/cor2cov.Rd
man/intr.plot.Rd
man/ss.aipe.R2.sensitivity.Rd
man/ci.smd.c.Rd
man/smd.c.Rd
man/ss.aipe.rmsea.sensitivity.Rd
man/ci.snr.Rd
man/ci.sc.Rd
man/ss.power.sem.Rd
man/Cor.Mat.Lomax.Rd
man/ci.sc.ancova.Rd
man/prof.salary.Rd
man/ci.sm.Rd
man/ss.aipe.cv.sensitivity.Rd
man/mr.cv.Rd
man/Sigma.2.SigmaStar.Rd
man/ss.power.reg.coef.Rd
man/ss.aipe.sem.path.Rd
man/ss.aipe.sc.sensitivity.Rd
man/ci.cc.Rd
man/ss.aipe.sc.Rd
man/ss.aipe.sm.Rd
man/ss.aipe.sc.ancova.Rd
man/Cor.Mat.MM.Rd
man/power.equivalence.md.plot.Rd
man/ss.aipe.src.Rd
man/ss.aipe.R2.Rd
man/ss.aipe.c.ancova.sensitivity.Rd
man/s.u.Rd
man/vit.Rd
man/ci.c.Rd
man/Variance.R2.Rd
man/ss.aipe.rc.Rd
man/power.density.equivalence.md.Rd
man/intr.plot.2d.Rd
man/ss.power.rc.Rd
man/ss.aipe.reliability.Rd
man/conf.limits.nc.chisq.Rd
man/transform_r.Z.Rd
man/CFA.1.Rd
man/theta.2.Sigma.theta.Rd
man/ss.aipe.rmsea.Rd
man/conf.limits.nct.Rd
man/ss.aipe.c.Rd
man/vit.fitted.Rd
man/ci.srsnr.Rd
man/covmat.from.cfm.Rd
man/power.equivalence.md.Rd
man/mediation.effect.plot.Rd
man/F.and.R2.Noncentral.Conversion.Rd
man/aipe.smd.Rd
man/ci.src.Rd
man/HS.data.Rd
man/ancova.random.data.Rd
man/ss.aipe.smd.Rd
man/ci.R2.Rd
man/ci.rmsea.Rd
man/Gardner.LD.Rd
man/conf.limits.ncf.Rd
man/upsilon.Rd
man/ss.aipe.sem.path.sensitiv.Rd
man/mr.smd.Rd
man/ss.aipe.c.ancova.Rd
man/ci.pvaf.Rd
man/ss.aipe.cv.Rd
man/ci.reliability.Rd
man/ci.R.Rd
man/ss.aipe.sm.sensitivity.Rd
man/ss.aipe.reg.coef.sensitivity.Rd
man/transform_Z.r.Rd
man/ss.aipe.reg.coef.Rd
man/MBESS-package.Rd
man/ss.power.pcm.Rd
man/ci.smd.Rd
man/signal.to.noise.R2.Rd
man/mediation.effect.bar.plot.Rd
man/ssAIPECRDES.Rd
man/verify.ss.aipe.R2.Rd
man/ss.aipe.sc.ancova.sensitivity.Rd
MBESS documentation built on May 19, 2017, 8:39 p.m.