#' samplesizr: Sample size calculation with R based on the Book:
#'
#' [1] M.Kieser: Fallzahlberechnung in der medizinischen Forschung [2018], 1th Edition.
#'
#' @section Functions:
#' \itemize{
#'
#' \item{\code{\link{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.
#' }
#'
#' \item{\code{\link{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.
#' }
#'
#' \item{\code{\link{n_chisq_mult_groups}}: }{
#' Sample size calculation for the Chi-Square test comparing
#' rates of \eqn{k > 2} independent samples with respect to binary data.
#' See page 30 in [1] for further details.
#' }
#'
#' \item{\code{\link{n_ftest}}: }{
#' Sample size calculation for the F-Test comparing
#' means of \eqn{k > 2} independent samples with respect to normal data.
#' See page 29 in [1] for further details.
#' }
#'
#' \item{\code{\link{n_ttest}}: }{
#' Sample size calculation for the t-Test comparing
#' two independent samples with respect to normal data.
#' See pages 16 - 18 in [1] for further details.
#' }
#'
#' \item{\code{\link{n_ztest}}: }{
#' Sample size calculation for the z-Test comparing
#' two independent samples with respect to normal data.
#' See pages 13 - 16 in [1] for further details.
#' }
#'}
#'
#'\itemize{
#' \item{\code{\link{power_binomial}}: }{
#' Power Calculation for the Chi-Square Test for two
#' independent samples with respect to binary data using the absolute rate
#' difference quantifying the effect of an intervention.
#' See pages 21 - 26 in [1] for further details.
#' }
#'
#' \item{\code{\link{power_chisq_mult_groups}}: }{
#' Power calculation for the Chi-Square test comparing
#' rates of \eqn{k > 2} independent samples with respect to binary data.
#' See page 30 in [1] for further details.
#' }
#'
#' \item{\code{\link{power_ftest}}: }{
#' Power calculation for the F-Test comparing
#' means of \eqn{k > 2} independent samples with respect to normal data.
#' See page 29 in [1] for further details.
#' }
#'
#' \item{\code{\link{power_ttest}}: }{
#' Power calculation for the t-Test comparing
#' two independent samples with respect to normal data.
#' See pages 16 - 18 in [1] for further details.
#' }
#'
#' \item{\code{\link{power_ztest}}: }{
#' Power calculation for the z-Test comparing
#' two independent samples with respect to normal data.
#' See pages 13 - 16 in [1] for further details.
#' }
#'
#' }
#'
#' @docType package
#' @name samplesizr
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