Learn R Programming

TeachingSampling (version 4.1.1)

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.

Copy Link

Version

Install

install.packages('TeachingSampling')

Monthly Downloads

1,495

Version

4.1.1

License

GPL (>= 2)

Maintainer

Hugo Gutierrez Rojas

Last Published

April 21st, 2020

Functions in TeachingSampling (4.1.1)

E.PPS

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

Estimation of the Population Total under Simple Random Sampling With Replacement
E.2SI

Estimation of the Population Total under Two Stage Simple Random Sampling Without Replacement
E.Trim

Weight Trimming and Redistribution
E.UC

Estimation of the Population Total and its variance using the Ultimate Cluster technique
E.SI

Estimation of the Population Total under Simple Random Sampling Without Replacement
E.SY

Estimation of the Population Total under Systematic Sampling Without Replacement
E.STpiPS

Estimation of the Population Total under Stratified Probability Proportional to Size Sampling Without Replacement
E.STSI

Estimation of the Population Total under Stratified Simple Random Sampling Without Replacement
E.Quantile

Estimation of a Population quantile
IkRS

Sample Membership Indicator for Random Size sampling designs
GREG.SI

The Generalized Regression Estimator under SI sampling design
HT

The Horvitz-Thompson Estimator
E.STPPS

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

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

Sample Membership Indicator
IkWR

Sample Membership Indicator for with Replacements sampling designs
Lucy

Some Business Population Database
VarSYGHT

Two different varaince estimators for the Horvitz-Thompson estimator
S.STSI

Stratified sampling applying SI design in all strata
HH

The Hansen-Hurwitz Estimator
Pikl

Second Order Inclusion Probabilities for Fixed Size Without Replacement Sampling Designs
S.STpiPS

Stratified Sampling Applying Without Replacement piPS Design in all Strata
IPFP

Iterative Proportional Fitting Procedure
S.BE

Bernoulli Sampling Without Replacement
Pik

Inclusion Probabilities for Fixed Size Without Replacement Sampling Designs
Wk

The Calibration Weights
T.SIC

Computation of Population Totals for Clusters
S.PO

Poisson Sampling
VarHT

Variance of the Horvitz-Thompson Estimator
nk

Sample Selection Indicator for With Replacement Sampling Designs
p.WR

Generalization of every with replacement sampling design
PikHol

Optimal Inclusion Probabilities Under Multi-purpose Sampling
S.PPS

Probability Proportional to Size Sampling With Replacement
S.SI

Simple Random Sampling Without Replacement
SupportWR

Sampling Support for Fixed Size With Replacement Sampling Designs
SupportRS

Sampling Support for Random Size Without Replacement Sampling Designs
S.piPS

Probability Proportional to Size Sampling Without Replacement
PikPPS

Inclusion Probabilities in Proportional to Size Sampling Designs
S.STPPS

Stratified Sampling Applying PPS Design in all Strata
PikSTPPS

Inclusion Probabilities in Stratified Proportional to Size Sampling Designs
Support

Sampling Support for Fixed Size Without Replacement Sampling Designs
S.SY

Systematic Sampling
S.WR

Simple Random Sampling With Replacement
BigCity

Full Person-level Population Database
BigLucy

Full Business Population Database
E.1SI

Estimation of the Population Total under Single Stage Simple Random Sampling Without Replacement
E.BE

Estimation of the Population Total under Bernoulli Sampling Without Replacement
E.Beta

Estimation of the population regression coefficients under SI designs
Deltakl

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

Domains Indicator Matrix
E.PO

Estimation of the Population Total under Poisson Sampling Without Replacement