| altprimary | Power calculation for multiple alternative (at least one) primary continuous endpoints assuming known covariance matrix | 
| anova1way.c.bal | Power calculation for one-way balanced analysis of variance contrast test | 
| anova1way.c.unbal | Power calculation for one-way unbalanced analysis of variance contrast test | 
| anova1way.F.bal | Power calculation for balanced one-way ANOVA omnibus F test | 
| anova1way.F.unbal | Power calculation for unbalanced one-way analysis of variance omnibus F test | 
| anova2way.c.bal | Power calculation for two-way balanced analysis of variance contrast test | 
| anova2way.c.unbal | Power calculation for two-way unbalanced analysis of variance contrast test | 
| anova2way.F.bal | Power calculation for two-way balanced analysis of variance F tests | 
| anova2way.F.unbal | Power calculation for two-way unbalanced analysis of variance F tests | 
| anova2way.se.bal | Power calculation for test of simple effect for two-way balanced analysis of variance | 
| anova2way.se.unbal | Power calculation for test of simple effect for two-way unbalanced analysis of variance | 
| chisq.gof | Power calculation for chi-square goodness-of-fit test | 
| chisq.indep | Power calculation for chi-square test of independence | 
| ci.mean | Power calculation for precision analysis (confidence interval) for one mean | 
| ci.meandiff | Power calculation for precision analysis (confidence interval) for a difference between two means | 
| coprimary.t | Power calculations for multiple co-primary continuous endpoints assuming unknown covariance matrix | 
| coprimary.z | Power calculations for multiple co-primary continuous endpoints assuming known covariance matrix | 
| corr.1samp | Power calculation for test of one correlation coefficient | 
| corr.2samp | Power calculation for comparing two correlation coefficients | 
| crt.long.cont | Power for test of treatment effect in longitudinal cluster randomized trial with baseline measurement | 
| crt.means.r | Correlation between a cluster mean at baseline and follow up | 
| crt.parallel.bin | Power calculation for cluster randomized trial with binary outcome | 
| crt.parallel.cont | Power for cluster randomized trial with continuous outcome | 
| crt.parallel.hte | Power for detecting treatment effect heterogeneity in a cluster randomized trial with a continuous outcome | 
| crt.varexplore | Variance exploration for cluster randomized trials with binary outcomes | 
| crt.xo.cont | Power for test of treatment effect in 2x2 crossover cluster randomized trial | 
| es.anova.f | Cohen f effect size calculation for one- or two- way analysis of variance | 
| es.d | Cohen d effect size calculation for one or two means | 
| es.fsq.overall | Cohen f-squared effect size for overall F test in multiple linear regression | 
| es.fsq.partial | Cohen f-squared effect size for partial F test in multiple linear regression | 
| es.h | Cohen h effect size calculation for two proportions | 
| es.q | Cohen q effect size calculation for two correlation coefficients | 
| es.w | Cohen w effect size calculation for chi-square tests | 
| irgtt.bin | Power for individual randomized group treatment trial with binary outcome | 
| irgtt.cont | Power for individually randomized group treatment trial with continuous outcome | 
| irt.hte | Power for detecting treatment effect heterogeneity in an individually randomized trial with a continuous outcome | 
| mlrF.overall | Power calculation for a multiple linear regression overall F test | 
| mlrF.partial | Power calculation for a multiple linear regression partial F test | 
| ms.varexplore | Variance exploration for a multisite trial with a binary outcome | 
| multisite.bin | Power for a multisite trial with a binary outcome | 
| multisite.cont | Power for test of average treatment effect in a multisite trial | 
| multisite.hte | Power for test of heterogeneity of treatment effect in a multisite trial | 
| prop.1samp | Power calculation for one-sample proportion test | 
| prop.2samp | Power calculation for two-sample proportion test | 
| prop.paired | Power calculation for McNemar test of two correlated proportions | 
| prop.test.equiv | Power calculation for test of equivalence of two proportions | 
| propodds | Power calculations for ordinal categorical variable under proportional odds assumption | 
| ranksum | Power calculation for rank-sum test | 
| re.clustsize.bin | Relative efficiency of a cluster randomized or multisite trial with binary outcome with varying cluster sizes | 
| re.clustsize.cont | Relative efficiency of a cluster randomized or multisite trial with continuous outcome with varying cluster sizes | 
| relrisk | Power calculation for relative risk | 
| signedrank | Power calculation for signed-rank test | 
| signtest | Power calculation for sign test | 
| slr | Power calculation for a simple linear regression | 
| ttest.1samp | Power calculation for one-sample t test | 
| ttest.2samp | Power calculation for two-sample t test | 
| ttest.paired | Power calculation for paired t test | 
| ztest.1samp | Power calculation for one-sample z test | 
| ztest.2samp | Power calculation for two-sample z test | 
| ztest.paired | Power calculation for paired z test |