Introduction | Generate Simulated Data | Estimation Methods | Example 1: Sample Mean | Example 2: Raking | Example 3: MRP (Multilevel Regression with Poststratification) | Example 4: GAMP (Generalized Additive Model of Response Propensity) | Example 5: Bayesian Linear Regression | Example 6: BART (Bayesian Additive Regression Trees) | Conclusion
Package: AuxSurvey 1.0
AuxSurvey: Survey Analysis with Auxiliary Discretized Variables
Probability surveys often use auxiliary continuous data from administrative records, but the utility of this data is diminished when it is discretized for confidentiality. We provide a set of survey estimators to make full use of information from the discretized variables. See Williams, S.Z., Zou, J., Liu, Y., Si, Y., Galea, S. and Chen, Q. (2024), Improving Survey Inference Using Administrative Records Without Releasing Individual-Level Continuous Data. Statistics in Medicine, 43: 5803-5813. <doi:10.1002/sim.10270> for details.
Authors:
AuxSurvey_1.0.tar.gz
AuxSurvey_1.0.zip(r-4.7-any)AuxSurvey_1.0.zip(r-4.6-any)AuxSurvey_1.0.zip(r-4.5-any)
AuxSurvey_1.0.tgz(r-4.6-any)AuxSurvey_1.0.tgz(r-4.5-any)
AuxSurvey_1.0.tar.gz(r-4.7-any)AuxSurvey_1.0.tar.gz(r-4.6-any)
AuxSurvey_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
AuxSurvey/json (API)
| # Install 'AuxSurvey' in R: |
| install.packages('AuxSurvey', repos = c('https://zjg540066169.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/zjg540066169/auxsurvey/issues
auxilary-variablescategorical-variablessurvey-analysis
Last updated from:c9f122af42. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 248 | ||
| source / vignettes | OK | 327 | ||
| linux-release | OK | 258 | ||
| macos-release | OK | 200 | ||
| macos-oldrel | OK | 136 | ||
| windows-devel | OK | 204 | ||
| windows-release | OK | 185 | ||
| windows-oldrel | OK | 220 | ||
| wasm-release | OK | 153 |
Exports:auxsurveypostStr_wtrake_wtsimulatesvyBayesmoduwt
Dependencies:abindbackportsBARTbase64encbayesplotBHbootbslibcachemcallrcheckmateclicodacolourpickercommonmarkcpp11crosstalkDBIdescdigestdistributionaldplyrDTdygraphsevaluatefarverfastmapfontawesomefsgenericsggdistggplot2ggridgesgluegridExtragtablegtoolshighrhtmltoolshtmlwidgetshttpuvigraphinlineisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelitedownlme4loomagrittrmarkdownMASSMatrixmatrixStatsmemoisemgcvmimeminiUIminqamitoolsnlmenloptrnumDerivotelpillarpkgbuildpkgconfigplyrposteriorprocessxpromisespspurrrquadprogQuickJSRR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasreshape2rlangrmarkdownrstanrstanarmrstantoolsS7sassscalesshinyshinyjsshinystanshinythemessourcetoolsStanHeadersstringistringrsurveysurvivaltensorAthreejstibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtablextsyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Auxiliary Variables in Survey Analysis | auxsurvey |
| Weighted or Unweighted Post-Stratification Estimator | postStr_wt |
| Weighted or Unweighted Raking Estimator | rake_wt |
| Simulate Survey Data with Discretized Auxiliary Variables | simulate |
| Bayesian Survey Model Estimation | svyBayesmod |
| Weighted or Unweighted Sample Mean | uwt |