rna_prior: RNA in version that uses prior information about violations
In stratallo: Optimum Sample Allocation in Stratified Sampling

rna_prior

R Documentation

RNA in version that uses prior information about violations

Description

This is the version of the RNA that makes use of additional information about strata for which the allocation can possibly be violated. For all other strata allocation will not be violated.

Usage

rna_prior(
  total_cost,
  A,
  bounds = NULL,
  check = NULL,
  check_violations = .Primitive(">="),
  details = FALSE
)

Arguments

`total_cost`	(`number`) total cost `c` of the survey. A strictly positive scalar.
`A`	(`numeric`) population constants `A_1,\ldots,A_H`. Strictly positive numbers.
`bounds`	(`numeric` or `NULL`) optional lower bounds `m_1,\ldots,m_H`, or upper bounds `M_1,\ldots,M_H`, or `NULL` to indicate that there is no inequality constraints in the optimization problem considered. If not `NULL`, the `bounds` is to be treated either as: lower bounds, if `check_violations = .Primitive("<=")`. In this case, it is required that `total_cost >= sum(unit_costs * bounds)`, or upper bounds, if `check_violations = .Primitive(">=")`. In this case, it is required that `total_cost <= sum(unit_costs * bounds)`.
`check`	(`integer`) strata indices for which the allocation can possible be violated. For other strata allocation cannot be violated.
`check_violations`	(`function`) 2-arguments binary operator function that allows the comparison of values in atomic vectors. It must either be set to `.Primitive("<=")` or `.Primitive(">=")`. The first of these choices causes that `bounds` are treated as lower bounds and then `rna()` function performs the LRNA algorithm. The latter option causes that `bounds` are treated as upper bounds, and then `rna()` function performs the RNA algorithm. This argument is ignored when `bounds` is set to `NULL`.
`details`	(`flag`) should detailed information about strata assignments (either to take-Neyman or take-bound), values of set function `s` and number of iterations be added to the output?