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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.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.