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powerMediation (version 0.1.3)

Power/Sample size calculation for mediation analysis

Description

The package contains functions (1) for calculating power, sample size, and minimal detectable mediation effect for testing mediation effect in linear, logistic, Poisson, or cox regression; (2) for calculating power, sample size, and minimal detectable slope for testing the slope in a simple linear regression (only one predictor); (3) for calculating power, and sample size for testing odds ratio in a simple logistic regression with continuous predictor or binary predictor.

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Version

Install

install.packages('powerMediation')

Monthly Downloads

451

Version

0.1.3

License

GPL (>= 2)

Maintainer

Weiliang Qiu

Last Published

April 29th, 2013

Functions in powerMediation (0.1.3)

minEffect.VSMc.logistic

Minimum detectable slope for mediator in logistic regression based on Vittinghoff, Sen and McCulloch's (2009) method
SSizeLogisticCon

Calculating sample size for simple logistic regression with continuous predictor
minEffect.SLR

Minimum detectable slope
power.SLR.rho

Power for testing slope for simple linear regression
ssMediation.VSMc.cox

Sample size for testing mediation effect in cox regression based on Vittinghoff, Sen and McCulloch's (2009) method
powerMediation.VSMc.cox

Power for testing mediation effect in cox regression based on Vittinghoff, Sen and McCulloch's (2009) method
powerMediation.Sobel

Power for testing mediation effect (Sobel's test)
powerLogisticBin

Calculating power for simple logistic regression with binary predictor
ss.SLR.rho

Sample size for testing slope for simple linear regression based on R2
power.SLR

Power for testing slope for simple linear regression
powerLogisticCon

Calculating power for simple logistic regression with continuous predictor
ssMediation.VSMc.poisson

Sample size for testing mediation effect in poisson regression based on Vittinghoff, Sen and McCulloch's (2009) method
ssMediation.VSMc

Sample size for testing mediation effect in linear regression based on Vittinghoff, Sen and McCulloch's (2009) method
powerMediation.VSMc.poisson

Power for testing mediation effect in poisson regression based on Vittinghoff, Sen and McCulloch's (2009) method
minEffect.VSMc.cox

Minimum detectable slope for mediator in cox regression based on Vittinghoff, Sen and McCulloch's (2009) method
ss.SLR

Sample size for testing slope for simple linear regression
powerMediation.VSMc

Power for testing mediation effect in linear regression based on Vittinghoff, Sen and McCulloch's (2009) method
powerMediation.VSMc.logistic

Power for testing mediation effect in logistic regression based on Vittinghoff, Sen and McCulloch's (2009) method
ssMediation.Sobel

Sample size for testing mediation effectd (Sobel's test)
minEffect.VSMc

Minimum detectable slope for mediator in linear regression based on Vittinghoff, Sen and McCulloch's (2009) method
testMediation.Sobel

P-value and confidence interval for testing mediation effect (Sobel's test)
ssMediation.VSMc.logistic

Sample size for testing mediation effect in logistic regression based on Vittinghoff, Sen and McCulloch's (2009) method
SSizeLogisticBin

Calculating sample size for simple logistic regression with binary predictor
minEffect.VSMc.poisson

Minimum detectable slope for mediator in poisson regression based on Vittinghoff, Sen and McCulloch's (2009) method