altprimary | Power calculation for multiple alternative (at least one)... |
anova1way.c.bal | Power calculation for one-way balanced analysis of variance... |
anova1way.c.unbal | Power calculation for one-way unbalanced analysis of variance... |
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... |
anova2way.c.bal | Power calculation for two-way balanced analysis of variance... |
anova2way.c.unbal | Power calculation for two-way unbalanced analysis of variance... |
anova2way.F.bal | Power calculation for two-way balanced analysis of variance F... |
anova2way.F.unbal | Power calculation for two-way unbalanced analysis of variance... |
anova2way.se.bal | Power calculation for test of simple effect for two-way... |
anova2way.se.unbal | Power calculation for test of simple effect for two-way... |
check.many | Internal-use function for quality checking sets of parameters |
check.param | Internal-use function for quality checking individual... |
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... |
ci.meandiff | Power calculation for precision analysis (confidence... |
coprimary.t | Power calculations for multiple co-primary continuous... |
coprimary.z | Power calculations for multiple co-primary continuous... |
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... |
crt.means.r | Correlation between a cluster mean at baseline and follow up |
crt.parallel.bin | Power calculation for cluster randomized trial with binary... |
crt.parallel.cont | Power for cluster randomized trial with continuous outcome |
crt.parallel.hte | Power for detecting treatment effect heterogeneity in a... |
crt.varexplore | Variance exploration for cluster randomized trials with... |
crt.xo.cont | Power for test of treatment effect in 2x2 crossover cluster... |
es.anova.f | Cohen f effect size calculation for one- or two- way analysis... |
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... |
es.h | Cohen h effect size calculation for two proportions |
es.q | Cohen q effect size calculation for two correlation... |
es.w | Cohen w effect size calculation for chi-square tests |
irgtt.bin | Power for individual randomized group treatment trial with... |
irgtt.cont | Power for individually randomized group treatment trial with... |
irt.hte | Power for detecting treatment effect heterogeneity in an... |
matrix.format | Internal-use function for displaying matrices in function... |
mlrF.overall | Power calculation for a multiple linear regression overall F... |
mlrF.partial | Power calculation for a multiple linear regression partial F... |
ms.varexplore | Variance exploration for a multisite trial with a binary... |
multisite.bin | Power for a multisite trial with a binary outcome |
multisite.cont | Power for test of average treatment effect in a multisite... |
multisite.hte | Power for test of heterogeneity of treatment effect in a... |
prop.1samp | Power calculation for one-sample proportion test |
prop.2samp | Power calculation for two-sample proportion test |
propodds | Power calculations for ordinal categorical variable under... |
prop.paired | Power calculation for McNemar test of two correlated... |
prop.test.equiv | Power calculation for test of equivalence of two proportions |
ranksum | Power calculation for rank-sum test |
re.clustsize.bin | Relative efficiency of a cluster randomized trial with binary... |
re.clustsize.cont | Relative efficiency of a cluster randomized trial with... |
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 |
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