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TeachingSampling (version 3.4.2)

Selection of Samples and Parameter Estimation in Finite Population

Description

Allows the user to draw probabilistic samples and make inferences from a finite population based on several sampling designs.

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Version

Install

install.packages('TeachingSampling')

Monthly Downloads

1,368

Version

3.4.2

License

GPL (>= 2)

Maintainer

Hugo Gutierrez Rojas

Last Published

July 23rd, 2018

Functions in TeachingSampling (3.4.2)

BigBigLucy

Full Business Population Database
E.PO

Estimation of the Population Total under Poisson Sampling Without Replacement
E.PPS

Estimation of the Population Total under Probability Proportional to Size Sampling With Replacement
E.Beta

Estimation of the population regression coefficients under SI designs
E.BE

Estimation of the Population Total under Bernoulli Sampling Without Replacement
IPFP

Iterative Proportional Fitting Procedure
HT

The Horvitz-Thompson Estimator
Deltakl

Variance-Covariance Matrix of the Sample Membership Indicators for Fixed Size Without Replacement Sampling Designs
E.WR

Estimation of the Population Total under Simple Random Sampling With Replacement
HH

The Hansen-Hurwitz Estimator
GREG.SI

The Generalized Regression Estimator under SI sampling design
S.PO

Poisson Sampling
PikPPS

Inclusion Probabilities in Proportional to Size Sampling Designs
S.PPS

Probability Proportional to Size Sampling With Replacement
Pikl

Second Order Inclusion Probabilities for Fixed Size Without Replacement Sampling Designs
E.piPS

Estimation of the Population Total under Probability Proportional to Size Sampling Without Replacement
S.BE

Bernoulli Sampling Without Replacement
IkWR

Sample Membership Indicator for with Replacements sampling designs
E.STpiPS

Estimation of the Population Total under Stratified Probability Proportional to Size Sampling Without Replacement
PikSTPPS

Inclusion Probabilities in Stratified Proportional to Size Sampling Designs
E.SY

Estimation of the Population Total under Systematic Sampling Without Replacement
Pik

Inclusion Probabilities for Fixed Size Without Replacement Sampling Designs
Lucy

Some Business Population Database
S.SI

Simple Random Sampling Without Replacement
S.piPS

Probability Proportional to Size Sampling Without Replacement
Support

Sampling Support for Fixed Size Without Replacement Sampling Designs
Wk

The Calibration Weights
S.STPPS

Stratified Sampling Applying PPS Design in all Strata
nk

Sample Selection Indicator for With Replacement Sampling Designs
SupportRS

Sampling Support for Random Size Without Replacement Sampling Designs
PikHol

Optimal Inclusion Probabilities Under Multi-purpose Sampling
SupportWR

Sampling Support for Fixed Size With Replacement Sampling Designs
S.SY

Systematic Sampling
S.STSI

Stratified sampling applying SI design in all strata
Domains

Domains Indicator Matrix
E.2SI

Estimation of the Population Total under Two Stage Simple Random Sampling Without Replacement
S.STpiPS

Stratified Sampling Applying Without Replacement piPS Design in all Strata
S.WR

Simple Random Sampling With Replacement
T.SIC

Computation of Population Totals for Clusters
E.STPPS

Estimation of the Population Total under Stratified Probability Proportional to Size Sampling With Replacement
Ik

Sample Membership Indicator
E.STSI

Estimation of the Population Total under Stratified Simple Random Sampling Without Replacement
VarHT

Variance of the Horvitz-Thompson Estimator
IkRS

Sample Membership Indicator for Random Size sampling designs
p.WR

Generalization of every with replacement sampling design
E.Quantile

Estimation of a Population quantile
E.SI

Estimation of the Population Total under Simple Random Sampling Without Replacement