All functions

beat.example

Sample sizes for each stratum

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

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

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

beat.example

Information on Primary Stage Units (PSUs) stratification

beat.example

Intraclass correlation coefficients for self and non self representative in the strata

select_PSU()

Select sample of primary stage units (PSU)

select_SSU()

Select sample of secondary stage units (SSU)

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