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WebPower (version 0.9.4)

Basic and Advanced Statistical Power Analysis

Description

This is a collection of tools for conducting both basic and advanced statistical power analysis including correlation, proportion, t-test, one-way ANOVA, two-way ANOVA, linear regression, logistic regression, Poisson regression, mediation analysis, longitudinal data analysis, structural equation modeling and multilevel modeling. It also serves as the engine for conducting power analysis online at .

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Version

Install

install.packages('WebPower')

Monthly Downloads

1,631

Version

0.9.4

License

GPL (>= 3)

Maintainer

Zhiyong Zhang

Last Published

October 13th, 2023

Functions in WebPower (0.9.4)

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.blcsm

Statistical Power Curve for Bivariate Latent Change Score Models based on Monte Carlo Simulation
wp.effect.CRT3arm

Effect size calculatator based on raw data for Cluster Randomized Trials with 3 Arms
wp.mc.chisq.diff

Statistical Power Analysis for SEM Based on Chi-square Difference Test
wp.lcsm

Statistical Power Curve for Univariate Latent Change Score Models based on Monte Carlo Simulation
wp.effect.MRT3arm

Effect size calculatator based on raw data for Multisite Randomized Trials with 3 Arms
wp.mc.sem.basic

Statistical Power Analysis for Structural Equation Modeling / Mediation based on Monte Carlo Simulation
wp.mc.sem.power.curve

Statistical Power Curve for Structural Equation Modeling / Mediation based on Monte Carlo Simulation
wp.effect.MRT2arm

Effect size calculatator based on raw data for Multisite Randomized Trials with 2 Arms
wp.logistic

Statistical Power Analysis for Logistic Regression
wp.mc.sem.boot

Statistical Power Analysis for Structural Equation Modeling / Mediation based on Monte Carlo Simulation: bootstrap method
wp.kanova

Power analysis for two-way, three-way and k-way ANOVA
wp.mc.t

Power analysis for t-test based on Monte Carlo simulation
wp.mediation

Statistical Power Analysis for Simple Mediation
wp.mrt2arm

Statistical Power Analysis for Multisite Randomized Trials with 2 Arms
wp.modmed.m15

model15
wp.modmed.m7

model7
wp.mmrm

Power analysis for longitudinal data analysis
wp.mrt3arm

Statistical Power Analysis for Multisite Randomized Trials with 3 Arms
wp.modmed.m14

model14
wp.modmed.m58

model58
wp.modmed.m8

model8
wp.sem.rmsea

Statistical Power Analysis for Structural Equation Modeling based on RMSEA
wp.t

Statistical Power Analysis for t-Tests
wp.sem.chisq

Statistical Power Analysis for Structural Equation Modeling based on Chi-Squared Test
wp.rmanova

Statistical Power Analysis for Repeated Measures ANOVA
wp.regression

Statistical Power Analysis for Linear Regression
wp.prop

Statistical Power Analysis for Tests of Proportions
wp.popPar

Extract Population Value Table
wp.poisson

Statistical Power Analysis for Poisson Regression
nuniroot

Solve A Single Equation
CRT2

Example Data For CRT With 2 Arms
WebPower-package

Basic and Advanced Statistical Power Analysis
estCRT2arm

Estimate multilevel effect size from data
plot.webpower

To plot Statistical Power Curve
plot.lcs.power

Plot the power curve for Latent Change Score Models
print.webpower

To Print Statistical Power Analysis Results
sem.effect.size

Calculate the Effect Size for SEM
wp.correlation

Statistical Power Analysis for Correlation
wp.anova.count

Statistical Power Analysis for One-way ANOVA with Count Data
wp.effect.CRT2arm

Effect size calculatator based on raw data for Cluster Randomized Trials with 2 Arms
MRT2

Example Data For MRT With 2 Arms
CRT3

Example Data For CRT With 3 Arms
MRT3

Example Data For MRT With 3 Arms
wp.anova

Statistical Power Analysis for One-way ANOVA
summary.power

Summary Statistical Power Analysis Results
wp.anova.binary

Statistical Power Analysis for One-way ANOVA with Binary Data