samplesizr: samplesizr: Sample size calculation with R based on the Book:
In goseberg/samplesizr: Sample-size calculation made simple

[1] M.Kieser: Fallzahlberechnung in der medizinischen Forschung [2018], 1th Edition.

n_ancova: Sample Size Calculation for the Analysis of Covariances (ANCOVA) for test on mean difference for two samples correlated to a covariate. See pages 18 - 20 in [1] for further details.
n_chisq: Sample size Calculation for the Chi-Square Test for two independent samples with binary data using the absolute rate difference quantifying the effect of an intervention. See pages 21 - 26 in [1] for further details.
n_chisq_mult_groups: Sample size calculation for the Chi-Square test comparing rates of k > 2 independent samples. See page 30 in [1] for further details.
n_ftest: Sample size calculation for the f-Test comparing means of k > 2 independent samples. See page 29 in [1] for further details.
n_ttest: Sample size calculation for the t-Test comparing two independent samples. See pages 16 - 18 in [1] for further details.
n_ztest: Sample size calculation for the z-Test comparing two independent samples. See pages 13 - 16 in [1] for further details.

power_binomial: Power Calculation for the Chi-Square Test for two independent samples with binary data using the absolute rate difference quantifying the effect of an intervention. See pages 21 - 26 in [1] for further details.
power_chisq_mult_groups: Power calculation for the Chi-Square test comparing rates of k > 2 independent samples. See page 30 in [1] for further details.
power_ftest: Power calculation for the f-Test comparing means of k > 2 independent samples. See page 29 in [1] for further details.
power_ttest: Power calculation for the t-Test comparing two independent samples. See pages 16 - 18 in [1] for further details.
power_ztest: Power calculation for the z-Test comparing two independent samples. See pages 13 - 16 in [1] for further details.