R: Basic and Advanced Statistical Power Analysis

# Basic and Advanced Statistical Power Analysis

## Documentation for package ‘WebPower’ version 0.9.4

- DESCRIPTION file

## Help Pages

WebPower-package | Basic and Advanced Statistical Power Analysis
CRT2 | Example Data For CRT With 2 Arms
CRT3 | Example Data For CRT With 3 Arms
estCRT2arm | Estimate multilevel effect size from data
estCRT3arm | Estimate multilevel effect size from data
estMRT2arm | Estimate multilevel effect size from data
estMRT3arm | Estimate multilevel effect size from data
MRT2 | Example Data For MRT With 2 Arms
MRT3 | Example Data For MRT With 3 Arms
nuniroot | Solve A Single Equation
plot.lcs.power | Plot the power curve for Latent Change Score Models
plot.webpower | To plot Statistical Power Curve
print.webpower | To Print Statistical Power Analysis Results
sem.effect.size | Calculate the Effect Size for SEM
summary.power | Summary Statistical Power Analysis Results
WebPower | Basic and Advanced Statistical Power Analysis
wp.anova | Statistical Power Analysis for One-way ANOVA
wp.anova.binary | Statistical Power Analysis for One-way ANOVA with Binary Data
wp.anova.count | Statistical Power Analysis for One-way ANOVA with Count Data
wp.blcsm | Statistical Power Curve for Bivariate Latent Change Score Models based on Monte Carlo Simulation
wp.correlation | Statistical Power Analysis for Correlation
wp.crt2arm | Statistical Power Analysis for Cluster Randomized Trials with 2 Arms
wp.crt3arm | Statistical Power Analysis for Cluster Randomized Trials with 3 Arms
wp.effect.CRT2arm | Effect size calculatator based on raw data for Cluster Randomized Trials with 2 Arms
wp.effect.CRT3arm | Effect size calculatator based on raw data for Cluster Randomized Trials with 3 Arms
wp.effect.MRT2arm | Effect size calculatator based on raw data for Multisite Randomized Trials with 2 Arms
wp.effect.MRT3arm | Effect size calculatator based on raw data for Multisite Randomized Trials with 3 Arms
wp.kanova | Power analysis for two-way, three-way and k-way ANOVA
wp.lcsm | Statistical Power Curve for Univariate Latent Change Score Models based on Monte Carlo Simulation
wp.logistic | Statistical Power Analysis for Logistic Regression
wp.mc.chisq.diff | Statistical Power Analysis for SEM Based on Chi-square Difference Test
wp.mc.sem.basic | Statistical Power Analysis for Structural Equation Modeling / Mediation based on Monte Carlo Simulation
wp.mc.sem.boot | Statistical Power Analysis for Structural Equation Modeling / Mediation based on Monte Carlo Simulation: bootstrap method
wp.mc.sem.power.curve | Statistical Power Curve for Structural Equation Modeling / Mediation based on Monte Carlo Simulation
wp.mc.t | Power analysis for t-test based on Monte Carlo simulation
wp.mediation | Statistical Power Analysis for Simple Mediation
wp.mmrm | Power analysis for longitudinal data analysis
wp.mmrm.ar1 | Power analysis for longitudinal data analysis
wp.modmed.m14 | model14
wp.modmed.m15 | model15
wp.modmed.m58 | model58
wp.modmed.m7 | model7
wp.modmed.m8 | model8
wp.mrt2arm | Statistical Power Analysis for Multisite Randomized Trials with 2 Arms
wp.mrt3arm | Statistical Power Analysis for Multisite Randomized Trials with 3 Arms
wp.poisson | Statistical Power Analysis for Poisson Regression
wp.popPar | Extract Population Value Table
wp.prop | Statistical Power Analysis for Tests of Proportions
wp.regression | Statistical Power Analysis for Linear Regression
wp.rmanova | Statistical Power Analysis for Repeated Measures ANOVA
wp.sem.chisq | Statistical Power Analysis for Structural Equation Modeling based on Chi-Squared Test
wp.sem.rmsea | Statistical Power Analysis for Structural Equation Modeling based on RMSEA
wp.t | Statistical Power Analysis for t-Tests