NEWS.md

In barcaroli/R2BEAT: Multistage Sampling Allocation and Sample Selection

R2BEAT 1.0.6

Major changes

• Added the function ‘build_dummy_variables’, to derive dummy variables from the target variables: it is useful when it is necessary to differentiate the precision constraints in the different domains of interest

• Added the function ‘prepareInputToAllocation_beat.1st’ that generates the ‘strata’ dataframe as input for the Bethel allocation (one stage)

• Added the function ‘CVs_hint’ that suggests new values for the precision constraints, depending on the variability of the target variables in the strata

• Added the function ‘adjust_CVs’ that, after determining the best allocation with given precision constraints (CVs) allows to reach a desired sample size by adjusting proportionally the values of the CVs

• Added the function ‘sens_names’ to better identify domain and variables in the sensitivity output

• Added the function ‘expected_CV’ to calculate the expected CVs given the allocation in the strata. It differs from the function ‘beat.1cv’ as it reports the maximum CV for each target variable in the domain levels

• Added the function ‘beat.1cv’ to calculate the expected CVs given the allocation in the strata. It differs from the function ‘expected_CV’ as it reports the expected CV for all the domains at each domain level

• Modified the function ‘beat.1st’ in the calculation of the expected CVs and to make the proportional and uniform coherent with the variable CENS in the dataset ‘stratif’

R2BEAT 1.0.5

Major changes

• Added the function ‘select_PSU2’ to be used in alternative a ‘select_PSU’ when there is a quasi uniform distribution of the measure of size of the PSUs (this is the case of Enumeration Areas, in contrast to Municipalities): this function ensures a complete alignment of the number of selected PSUs and of the SSUs to be selected to corrispondent numbers of allocated PSUs and SSUs

• Added the function ‘build_dummy_variables’ to add dummy variables to the sampling frame (this is necessary if we want to differentiate precision constraints in the same domain level, for instance in the different regions)

R2BEAT 1.0.4

Major changes

• Added the function ‘eval_2stage’ for the evaluation of the two-stage design by means of simulation

• Added the functions ‘sensitivity_min_SSU’ and ‘sensitivity_min_SSU2’ to give hints about how to choose the value of ‘minimum’ parameter (minimum number of SSUs to be selected in each PSU). The first is to be used when a sampling frame of SSUs is available, the second when it is not available. These functions are in substitution of function ‘sensitivity’

• Added the function ‘select_PSU’ to select first stage units (in substitution of ‘StratSel’, eliminated)

• Added the functions ‘prepareInputToAllocation1’ and ‘prepareInputToAllocation2’ to produce the inputs required by the allocation step (the first in case no previous round of the survey is available, the second when at least one round of the survey is available)

R2BEAT 1.0.3

Major changes

• Added a function (‘select_SSU’) for the selection of Secondary Stage Units

• Added a function (‘sensitivity’) for the fine tuning of parameters

R2BEAT 1.0.2

Major changes

• Added two functions (‘input_to_beat.2st_1’ and ‘input_to_beat.2st_2’) to prepare inputs for the allocation step

• Added function ‘StratSel’ executing the PSU selection step

• Fixed some bugs

R2BEAT 1.0.1

barcaroli/R2BEAT documentation built on Jan. 9, 2025, 8:09 a.m.