Function reference • sampsizer

Description
`sampsizer`	sampsizer
Sample size for simple random surveys or random cluster surveys
`get_deff()`	Function to calculate design effect (`DEFF`) given intracluster correlation coefficient (`ICC`) and cluster size.
`get_icc()`	Function to calculate the intracluster correlation coefficient of an indicator collected from random cluster survey (RCS). This is a wrapper of the `deff()` function in the `Hmisc` package.
`get_ss_prevalence()`	Function to calculate sample size for estimating prevalence/proportional indicators from a simple random sample (SRS) or a random cluster sample (RCS) survey. This function has an option to apply a finite population correction (FPC) to the sample size calculations.
Sample size for stepped wedge studies
`get_deff_swedge()`	Function to calculate the design effect of a stepped wedge cluster randomised study.
`get_ss_swedge()`	Function to calculate sample size requirements for a stepped wedge cluster randomised study.
Sample size for receiver-operator characteristic curve studies
`get_k_roc()`	Function to calculate ratio of cases to non-cases in the sample for an ROC analysis
`get_a_roc()`	Function to calculate the A binormal distribution parameter
`get_vf_roc()`	Function to calculate variance function (VF) of the area under the curve (AUC) for the receiver operator characteristic (ROC) curve sample size calculations
`get_nc_roc()`	Function to calculate the number of cases needed for an ROC analysis for a single test
`get_n_roc()`	Function to calculate total sample size for an ROC analysis for a single test