| minEffect.SLR | Minimum detectable slope |
| minEffect.VSMc | Minimum detectable slope for mediator in linear 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 |
| minEffect.VSMc.logistic | Minimum detectable slope for mediator in logistic regression based on Vittinghoff, Sen and McCulloch's (2009) method |
| minEffect.VSMc.poisson | Minimum detectable slope for mediator in poisson regression based on Vittinghoff, Sen and McCulloch's (2009) method |
| power.SLR | Power for testing slope for simple linear regression |
| power.SLR.rho | Power for testing slope for simple linear regression |
| powerInteract2by2 | Power Calculation for Interaction Effect in 2x2 Two-Way ANOVA Given Effect Sizes |
| powerLogisticBin | Calculating power for simple logistic regression with binary predictor |
| powerLogisticCon | Calculating power for simple logistic regression with continuous predictor |
| powerLong | Power calculation for longitudinal study with 2 time point |
| powerLong.multiTime | Power calculation for testing if mean changes for 2 groups are the same or not for longitudinal study with more than 2 time points |
| powerLongFull | Power calculation for longitudinal study with 2 time point |
| powerMediation.Sobel | Power for testing mediation effect (Sobel's test) |
| powerMediation.VSMc | Power for testing mediation effect in linear 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.VSMc.logistic | Power for testing mediation effect in logistic 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 |
| powerPoisson | Power calculation for simple Poisson regression |
| sizePoisson | Sample size calculation for simple Poisson regression |
| ss.SLR | Sample size for testing slope for simple linear regression |
| ss.SLR.rho | Sample size for testing slope for simple linear regression based on R2 |
| SSizeLogisticBin | Calculating sample size for simple logistic regression with binary predictor |
| SSizeLogisticCon | Calculating sample size for simple logistic regression with continuous predictor |
| ssLong | Sample size calculation for longitudinal study with 2 time point |
| ssLong.multiTime | Sample size calculation for testing if mean changes for 2 groups are the same or not for longitudinal study with more than 2 time points |
| ssLongFull | Sample size calculation for longitudinal study with 2 time point |
| ssMediation.Sobel | Sample size for testing mediation effectd (Sobel's test) |
| ssMediation.VSMc | Sample size for testing mediation effect in linear regression based on Vittinghoff, Sen and McCulloch's (2009) method |
| ssMediation.VSMc.cox | Sample size for testing mediation effect in cox regression based on Vittinghoff, Sen and McCulloch's (2009) method |
| ssMediation.VSMc.logistic | Sample size for testing mediation effect in logistic regression based on Vittinghoff, Sen and McCulloch's (2009) method |
| ssMediation.VSMc.poisson | Sample size for testing mediation effect in poisson regression based on Vittinghoff, Sen and McCulloch's (2009) method |
| testMediation.Sobel | P-value and confidence interval for testing mediation effect (Sobel's test) |