Package: TeachingSampling 4.1.1

TeachingSampling: Selection of Samples and Parameter Estimation in Finite Population

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

Authors:Hugo Andres Gutierrez Rojas <[email protected]>

TeachingSampling_4.1.1.tar.gz
TeachingSampling_4.1.1.zip(r-4.7)TeachingSampling_4.1.1.zip(r-4.6)TeachingSampling_4.1.1.zip(r-4.5)
TeachingSampling_4.1.1.tgz(r-4.6-any)TeachingSampling_4.1.1.tgz(r-4.5-any)
TeachingSampling_4.1.1.tar.gz(r-4.7-any)TeachingSampling_4.1.1.tar.gz(r-4.6-any)
TeachingSampling_4.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
TeachingSampling/json (API)

# Install 'TeachingSampling' in R:
install.packages('TeachingSampling', repos = c('https://psirusteam.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/psirusteam/teachingsampling/issues

Datasets:
  • BigCity - Full Person-level Population Database
  • BigLucy - Full Business Population Database
  • Lucy - Some Business Population Database

On CRAN:

Conda:

5.97 score 4 stars 4 packages 215 scripts 1.8k downloads 50 exports 15 dependencies

Last updated from:2659f3b169. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK107
source / vignettesOK193
linux-release-x86_64OK124
macos-release-arm64OK126
macos-oldrel-arm64OK161
windows-develOK92
windows-releaseOK83
windows-oldrelOK82
wasm-releaseOK90

Exports:DeltaklDomainsE.1SIE.2SIE.BEE.BetaE.piPSE.POE.PPSE.QuantileE.SIE.STpiPSE.STPPSE.STSIE.SYE.TrimE.UCE.WRGREG.SIHHHTIkIkRSIkWRIPFPnkOrderWRp.WRPikPikHolPiklPikPPSPikSTPPSS.BES.piPSS.POS.PPSS.SIS.STpiPSS.STPPSS.STSIS.SYS.WRSupportSupportRSSupportWRT.SICVarHTVarSYGHTWk

Dependencies:clidplyrgenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr

Readme and manuals

Help Manual

Help pageTopics
Full Person-level Population DatabaseBigCity
Full Business Population DatabaseBigLucy
Variance-Covariance Matrix of the Sample Membership Indicators for Fixed Size Without Replacement Sampling DesignsDeltakl
Domains Indicator MatrixDomains
Estimation of the Population Total under Single Stage Simple Random Sampling Without ReplacementE.1SI
Estimation of the Population Total under Two Stage Simple Random Sampling Without ReplacementE.2SI
Estimation of the Population Total under Bernoulli Sampling Without ReplacementE.BE
Estimation of the population regression coefficients under SI designsE.Beta
Estimation of the Population Total under Probability Proportional to Size Sampling Without ReplacementE.piPS
Estimation of the Population Total under Poisson Sampling Without ReplacementE.PO
Estimation of the Population Total under Probability Proportional to Size Sampling With ReplacementE.PPS
Estimation of a Population quantileE.Quantile
Estimation of the Population Total under Simple Random Sampling Without ReplacementE.SI
Estimation of the Population Total under Stratified Probability Proportional to Size Sampling Without ReplacementE.STpiPS
Estimation of the Population Total under Stratified Probability Proportional to Size Sampling With ReplacementE.STPPS
Estimation of the Population Total under Stratified Simple Random Sampling Without ReplacementE.STSI
Estimation of the Population Total under Systematic Sampling Without ReplacementE.SY
Weight Trimming and RedistributionE.Trim
Estimation of the Population Total and its variance using the Ultimate Cluster techniqueE.UC
Estimation of the Population Total under Simple Random Sampling With ReplacementE.WR
The Generalized Regression Estimator under SI sampling designGREG.SI
The Hansen-Hurwitz EstimatorHH
The Horvitz-Thompson EstimatorHT
Sample Membership IndicatorIk
Sample Membership Indicator for Random Size sampling designsIkRS
Sample Membership Indicator for with Replacements sampling designsIkWR
Iterative Proportional Fitting ProcedureIPFP
Some Business Population DatabaseLucy
Sample Selection Indicator for With Replacement Sampling Designsnk
Pseudo-Support for Fixed Size With Replacement Sampling DesignsOrderWR
Generalization of every with replacement sampling designp.WR
Inclusion Probabilities for Fixed Size Without Replacement Sampling DesignsPik
Optimal Inclusion Probabilities Under Multi-purpose SamplingPikHol
Second Order Inclusion Probabilities for Fixed Size Without Replacement Sampling DesignsPikl
Inclusion Probabilities in Proportional to Size Sampling DesignsPikPPS
Inclusion Probabilities in Stratified Proportional to Size Sampling DesignsPikSTPPS
Bernoulli Sampling Without ReplacementS.BE
Probability Proportional to Size Sampling Without ReplacementS.piPS
Poisson SamplingS.PO
Probability Proportional to Size Sampling With ReplacementS.PPS
Simple Random Sampling Without ReplacementS.SI
Stratified Sampling Applying Without Replacement piPS Design in all StrataS.STpiPS
Stratified Sampling Applying PPS Design in all StrataS.STPPS
Stratified sampling applying SI design in all strataS.STSI
Systematic SamplingS.SY
Simple Random Sampling With ReplacementS.WR
Sampling Support for Fixed Size Without Replacement Sampling DesignsSupport
Sampling Support for Random Size Without Replacement Sampling DesignsSupportRS
Sampling Support for Fixed Size With Replacement Sampling DesignsSupportWR
Computation of Population Totals for ClustersT.SIC
Variance of the Horvitz-Thompson EstimatorVarHT
Two different varaince estimators for the Horvitz-Thompson estimatorVarSYGHT
The Calibration WeightsWk