Learn R Programming
⚠️There's a newer version (2.4) of this package.Take me there.

optimStrat (version 2.1)

Choosing the Sample Strategy

Description

Intended to assist in the choice of the sampling strategy to implement in a survey.

Copy Link

Version

Install

install.packages('optimStrat')

Monthly Downloads

213

Version

2.1

License

GPL-2

Maintainer

Edgar Bueno

Last Published

March 20th, 2020

Functions in optimStrat (2.1)

varstsi

Variance of STSI Sampling with the HT Estimator
expmse

Anticipated Mean Squared Error
varpips

Variance of Pareto PIps Sampling with the HT Estimator
varp

Variance
varstsipos

Design variance of a STSI--pos sampling strategy.
simulatey

Simulate the Study Variable
stratify

Stratification of an Auxiliary Variable
pinc

Inclusion probabilities in a PIps design
skewness

Sample Skewness
varstsireg

Design variance of a STSI--reg sampling strategy.
vk

Calculate the values of the function f.
varpipsreg

Design variance of a PIps--reg sampling strategy.
varpipspos

Design variance of a PIps--pos sampling strategy.
optimApp

Interactive Web-based Application of optimStrat
optimStrat-package

optimStrat
gk

Computes the gk
expmsestsi

Anticipated Mean Squared Error of a STSI design
expmsepips

Anticipated Mean Squared Error of a PIps design
covp

Covariance
desmse

Design Mean Squared Error
optiallo

Optimal allocation in stratified simple random sampling
absdif

Absolute Difference