Package index • R2BEAT

All functions
`CVs_hint()`	cvs_hint
`beat.example`	Information on Primary Stage Units (PSUs) stratification
`adjust_CVs()`	adjustCVs
`aggrStrata()`	aggrStrata
`beat.example`	Sample sizes for each stratum
`beat.1cv()`	The function returns a dataframe with planned and actual coefficients of variation (CV) in a multivariate multi-domain allocation problem.
`beat.cv()`	Computation of coefficient of variation (CV) for a given multivariate multiple allocation
`beat.1st()`	Compute one stage multivariate optimal allocation.
`beat.2st()`	Multivariate optimal allocation for different domains in two stage statified sample design
`build_dummy_variables()`	build_dummy_variables
`check_input()`	Check of coherence in the inputs for the allocation step
`beat.example`	Starting values for the Design Effect (\(deft\))
`beat.example`	Sampling design variables
`beat.example`	Estimator effect
`beat.example`	Precision constraints (maximum CVs) as input for Bethel allocation
`eval_2stage()`	Evaluation of the two-stage sample design optimized solution by simulation
`expected_CV()`	expected_CV
`input_to_beat.2st_1()`	Input dataframes for R2BEAT two-stages sample design (when a previous round of the survey is available, but no sampling frame)
`input_to_beat.2st_2()`	Prepares the design and psu file for two-stage sample design (when a previous round of the survey is available, but no sampling frame)
`plot_sens()`	Plot of the sensitivity analysis for some parameters by means of grid search
`prepareInputToAllocation1()`	Input dataframes for R2BEAT two-stages sample design when sampling frame is available
`prepareInputToAllocation2()`	Input dataframes for R2BEAT two-stages sample design when both sampling frame and a previous round of the survey are available
`prepareInputToAllocation_beat.1st()`	The function returns a dataframe, starting from the sampling frame (either universe or sample of a previous survey) with strata information.
`beat.example`	Intraclass correlation coefficients for self and non self representative in the strata
`select_PSU()`	Select sample of primary stage units (PSU)
`select_PSU2()`	Select sample of primary stage units (PSU)
`select_SSU()`	Select sample of secondary stage units (SSU)
`sens_names()`	Function for better presentation of sensitivity information
`sensitivity_min_SSU()`	Sensitivity analysis for choosing minimum number of SSUs per PSU (sampling frame available)
`sensitivity_min_SSU2()`	Sensitivity analysis for choosing minimum number of SSUs per PSU (no sampling frame available)
`beat.example`	Strata characteristics

Reference

All functions