alg_1sided              Algorithms for Optimum Sample Allocation Under
                        One-Sided Bound Constraints
alloc_summary           Summarizing the Allocation
check_rdca              Internal Diagnostic Functions for Checking
                        Optimality of 'rdca()' Allocations
data                    Datasets with Example Populations
dca                     Domain-Controlled Allocation (DCA) Algorithm
dca_M                   DCA Algorithm for Upper-Bound Constrained
                        Allocations (M <= N)
dopt                    Multi-Domain Optimum Sample Allocation with
                        Controlled-Precision under Upper-Bound
                        Constraints
fpia                    Fixed-Point Iteration Algorithm
has_mixed_signs         Check for Mixed Signs in a Numeric Vector
helpers_dca_rdca        Internal Helper Functions for 'dca0()',
                        'dca()', and 'rdca()'
is_equal                Check Numeric Equality within a Tolerance
obj_emptiness           Object Emptiness ('NULL' or zero-length)
opt                     Optimum Sample Allocation in Stratified
                        Sampling
optcost                 Minimum-Cost Allocation in Stratified Sampling
rdca                    Recursive Domain-Controlled Allocation (RDCA)
                        Algorithm
rdca_iter               Iterative RDCA Implementation
rna_experimental        RNA – Experimental Versions
rnabox                  Recursive Neyman Algorithm for Optimum Sample
                        Allocation under Box Constraints (RNABOX)
rounding                Rounding of Numbers
simplegreedy-capacityscaling
                        SimpleGreedy and CapacityScaling Algorithms
stratallo               Optimum Sample Allocation in Stratified
                        Sampling
var_st                  Variance of the Stratified pi Estimator of the
                        Population Total
