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 |
Cohen f-squared effect size for overall 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 trial with binary outcome with varying cluster sizes |
re.clustsize.cont |
Relative efficiency of a cluster randomized 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 |