Man pages for julianje/mcpa
Intuitive power analyses through monte carlo simulations

binom.exploreExplore the power of a binomial experiment under different...
binom.pexploreExplore the power of a binomial experiment under different...
binom.powCompute the power of a binomial experiment.
binom.ppowCompute the power of a binomial experiment using pilot data.
chisq.pexploreExplore power as a function of sample sie using a one- or...
chisq.powCompute the power using a chi-squared test.
chisq.ppowCompute the power using a chi-squared test by bootstrapping...
fishers.powCompute the power using a one- or two-sample unpaired t-test.
lm.exploreCompute the power of a linear model for a range of sample...
lm.powCompute the power of a linear model.
mcpamcpa: Intuitive power analysis through simulation
ttest.exploreExplore the power using a t-test under different sample...
ttest.pexploreExplore power as a function of sample sie using a one- or...
ttest.powCompute the power using a one- or two-sample unpaired t-test.
ttest.ppowCompute the power using a one- or two-sample unpaired t-test...
utest.pexploreExplore power as a function of sample sie using a one- or...
utest.ppowCompute the power using a one- or two-sample unpaired u test...
julianje/mcpa documentation built on Dec. 11, 2017, 12:23 a.m.