MBESS: The MBESS R Package

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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.

Author
Ken Kelley [aut, cre]
Date of publication
2016-09-23 22:40:28
Maintainer
Ken Kelley <kkelley@nd.edu>
License
GPL-2 | GPL-3
Version
4.1.0
URLs

View on CRAN

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...

Files in this package

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