R: Optimal Stratification of Univariate Populations

# Optimal Stratification of Univariate Populations

## Documentation for package ‘stratifyR’ version 1.0-5

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

## Help Pages

anaemia | Micronutrient data on Anaemia in Fiji
create.mat | To create and store calculated values of the objective function
data.alloc | Allocate data To calculate the stratum sample sizes (nh) for a fixed sample size (n) directly based on the data
data.optim | To implement the Dynamic Programming (DP) solution procedure on the stratification problem presented in the form of a Mathematical Programming Problem (MPP)
data.root | Calculate the objective function value for a given (d, y)
distr.alloc | To calculate the stratum sample sizes (nh) for a fixed sample size (n) based on the hypothetical distribution of the data
distr.optim | To implement the Dynamic Programming (DP) solution procedure on the stratification problem presented in the form of a Mathematical Programming Problem (MPP)
distr.root | Calculate the objective function value for a given (d, y) under a hypothesized distribution (scaled-data formulation)
erf | To calculate the error for a normal variable
get.dist | Determine best-fit distribution Identify the best-fit distribution for a univariate numeric vector
hies | Household Income Expenditure Survey (HIES) in Fiji
math | Mathematics Marks for First-year University Students
minim.val | To identify the minimum value out of two given sets of values
mode.val | To calculate the modal value of the data
realloc | To re-allocate the stratum sample sizes (nh)
strata.data | Stratification of Univariate Survey Population Using the Data
strata.distr | Stratification of Univariate Survey Population Using the Distribution
sugarcane | Sugarcane Farming Data in Fiji
summary.strata | Format and Present Results