R: Optimum Sample Allocation in Stratified Sampling

# Optimum Sample Allocation in Stratified Sampling

## Documentation for package ‘stratallo’ version 3.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

stratallo-package | Optimum Sample Allocation in Stratified Sampling
alg_1sided | Algorithms for Optimum Sample Allocation Under One-Sided Bound Constraints
alloc_summary | Summarizing the Allocation
CapacityScaling | SimpleGreedy and CapacityScaling Algorithms
CapacityScaling2 | SimpleGreedy and CapacityScaling Algorithms
check_rdca | Internal Diagnostic Functions for Checking Optimality of 'rdca()' Allocations
coma | Algorithms for Optimum Sample Allocation Under One-Sided Bound Constraints
data | Datasets with Example Populations
dca | Domain-Controlled Allocation (DCA) Algorithm
dca0 | Domain-Controlled Allocation (DCA) Algorithm
dca_M | DCA Algorithm for Upper-Bound Constrained Allocations (M <= N)
dca_nmax | Domain-Controlled Allocation (DCA) Algorithm
dopt | Multi-Domain Optimum Sample Allocation with Controlled-Precision under Upper-Bound Constraints
fpia | Fixed-Point Iteration Algorithm
fpia2 | Fixed-Point Iteration Algorithm
glambda | 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()'
H_cnt2dind | Internal Helper Functions for 'dca0()', 'dca()', and 'rdca()'
H_cnt2glbidx | Internal Helper Functions for 'dca0()', 'dca()', and 'rdca()'
H_get_strata_indices | Internal Helper Functions for 'dca0()', 'dca()', and 'rdca()'
is_empty | Object Emptiness ('NULL' or zero-length)
is_equal | Check Numeric Equality within a Tolerance
is_nonempty | Object Emptiness ('NULL' or zero-length)
obj_emptiness | Object Emptiness ('NULL' or zero-length)
opt | Optimum Sample Allocation in Stratified Sampling
optcost | Minimum-Cost Allocation in Stratified Sampling
philambda | Fixed-Point Iteration Algorithm
pop10s_bounds_ucost | Datasets with Example Populations
pop2d4s | Datasets with Example Populations
pop507s_ucost | Datasets with Example Populations
pop969s_ucost | Datasets with Example Populations
pop9d278s | Datasets with Example Populations
rdca | Recursive Domain-Controlled Allocation (RDCA) Algorithm
rdca_cnstr_check | Internal Diagnostic Functions for Checking Optimality of 'rdca()' Allocations
rdca_iter | Iterative RDCA Implementation
rdca_obj_cnstr | Internal Diagnostic Functions for Checking Optimality of 'rdca()' Allocations
rdca_optcond_sU | Internal Diagnostic Functions for Checking Optimality of 'rdca()' Allocations
rna | Algorithms for Optimum Sample Allocation Under One-Sided Bound Constraints
rnabox | Recursive Neyman Algorithm for Optimum Sample Allocation under Box Constraints (RNABOX)
rna_experimental | RNA – Experimental Versions
rna_prior | RNA – Experimental Versions
rna_rec | RNA – Experimental Versions
rounding | Rounding of Numbers
round_oric | Rounding of Numbers
round_ran | Rounding of Numbers
sga | Algorithms for Optimum Sample Allocation Under One-Sided Bound Constraints
sgaplus | Algorithms for Optimum Sample Allocation Under One-Sided Bound Constraints
SimpleGreedy | SimpleGreedy and CapacityScaling Algorithms
simplegreedy-capacityscaling | SimpleGreedy and CapacityScaling Algorithms
SimpleGreedy2 | SimpleGreedy and CapacityScaling Algorithms
stratallo | Optimum Sample Allocation in Stratified Sampling
var_st | Variance of the Stratified pi Estimator of the Population Total
var_stsi | Variance of the Stratified pi Estimator of the Population Total