dopt().rna():
check_violations -> cmp.rnabox():
bounds1 -> bounds_inner,bounds2 -> bounds_outer,check_violations1 -> cmp_inner,check_violations2 -> cmp_outer.var_st_tsi() function to
var_stsi().asummary() function to
alloc_summary().a to A
and a0 to A0 for several functions.rnabox() so that it can perform both versions
of the RNABOX algorithm, i.e.: step 1 handles one-sided upper bounds
whilst step 2 handles one-sided lower bounds, or conversely, depending
on the user preferences.ran_round() and
round_oric() for rounding of (non-integer) numbers.var_tst_si() function to
var_st_tsi().var_tst() function to
var_st().unit_cost variable into pop507,
pop969 and pop10_mM datasets.allocation_summary() function to
asummary().unit_costs to
optcost() function.unit_costs to
rna() function.n to total_cost in
rna() function.dopt() function to opt().nopt() function to optcost().nopt() function, changed the name of two parameters:
D to V and b to
a0.rna(). Vector
Ri of take-bound indices is now a logical vector instead of
the integer vector.h_get_which_violates() helper as it is not
needed anymorecheck_violations to
rna() function which replaces
h_get_which_violates() approach.b to a0 in
var_tst_si() function.rna_onesided() function to
rna().allocation_summary() that summarizes
the allocation.rnabox() to handle box-constraints
case.rna_onesided() so that it optionally returns
take-Neyman, take-min, take-max set of strata indices.rna_one_sided() to
rna_onesided().nopt() for minimization of
total sample size under constraints on variance and upper bounds on
strata sample sizes.rNa() into rna_one_sided() so
that it also computes the allocation under optional lower bounds
constraints.nopt() do dopt() to reflect the
fact that it minimizes variance function D.
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