Man pages for julianje/mcpa
Intuitive power analyses through monte carlo simulations
| binom.explore | Explore the power of a binomial experiment under different... |
| binom.pexplore | Explore the power of a binomial experiment under different... |
| binom.pow | Compute the power of a binomial experiment. |
| binom.ppow | Compute the power of a binomial experiment using pilot data. |
| chisq.pexplore | Explore power as a function of sample sie using a one- or... |
| chisq.pow | Compute the power using a chi-squared test. |
| chisq.ppow | Compute the power using a chi-squared test by bootstrapping... |
| fishers.pow | Compute the power using a one- or two-sample unpaired t-test. |
| lm.explore | Compute the power of a linear model for a range of sample... |
| lm.pow | Compute the power of a linear model. |
| mcpa | mcpa: Intuitive power analysis through simulation |
| ttest.explore | Explore the power using a t-test under different sample... |
| ttest.pexplore | Explore power as a function of sample sie using a one- or... |
| ttest.pow | Compute the power using a one- or two-sample unpaired t-test. |
| ttest.ppow | Compute the power using a one- or two-sample unpaired t-test... |
| utest.pexplore | Explore power as a function of sample sie using a one- or... |
| utest.ppow | Compute the power using a one- or two-sample unpaired u test... |
