Package: anesrake 0.80
anesrake: ANES Raking Implementation
Provides a comprehensive system for selecting variables and weighting data to match the specifications of the American National Election Studies. The package includes methods for identifying discrepant variables, raking data, and assessing the effects of the raking algorithm. It also allows automated re-raking if target variables fall outside identified bounds and allows greater user specification than other available raking algorithms. A variety of simple weighted statistics that were previously in this package (version .55 and earlier) have been moved to the package 'weights.'
Authors:
anesrake_0.80.tar.gz
anesrake_0.80.zip(r-4.5)anesrake_0.80.zip(r-4.4)anesrake_0.80.zip(r-4.3)
anesrake_0.80.tgz(r-4.4-any)anesrake_0.80.tgz(r-4.3-any)
anesrake_0.80.tar.gz(r-4.5-noble)anesrake_0.80.tar.gz(r-4.4-noble)
anesrake_0.80.tgz(r-4.4-emscripten)anesrake_0.80.tgz(r-4.3-emscripten)
anesrake.pdf |anesrake.html✨
anesrake/json (API)
| # Install 'anesrake' in R: |
| install.packages('anesrake', repos = c('https://jmping.r-universe.dev', 'https://cloud.r-project.org')) |
- anes04 - Demographic Data From 2004 American National Election Studies
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 years agofrom:cb086d4f17. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win | OK | Nov 03 2024 |
| R-4.5-linux | OK | Nov 03 2024 |
| R-4.4-win | OK | Nov 03 2024 |
| R-4.4-mac | OK | Nov 03 2024 |
| R-4.3-win | OK | Nov 03 2024 |
| R-4.3-mac | OK | Nov 03 2024 |
Exports:anesrakeanesrakefinderdiscrepgeneraldesigneffectrakelistrakeonvarselecthighestpctsselectnhighestweightassess
Dependencies:backportsbase64encbitbit64bootbroombslibcachemcheckmateclicliprclustercodetoolscolorspacecpp11crayondata.tabledigestdplyrevaluatefansifarverfastmapfontawesomeforcatsforeachforeignFormulafsgdatagenericsggplot2glmnetgluegridExtragtablegtoolshavenhighrHmischmshtmlTablehtmltoolshtmlwidgetsisobanditeratorsjomojquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixmemoisemgcvmicemimeminqamitmlmunsellnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrR6rappdirsRColorBrewerRcppRcppEigenreadrrlangrmarkdownrpartrstudioapisassscalesshapestringistringrsurvivaltibbletidyrtidyselecttinytextzdbucminfutf8vctrsviridisviridisLitevroomweightswithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Demographic Data From 2004 American National Election Studies (ANES) | anes04 |
| Function to perform full ANES variable selection and weighting. | anesrake print.anesrake summary.anesrake |
| Function to determine what variables should be used for weighting. | anesrakefinder selecthighestpcts selectnhighest |
| Function to determine the discrepancy for each level of a variable from targets. | discrep discrep.default discrep.factor discrep.logical discrep.numeric |
| Calculates a general design effect given weights for a dataset. | generaldesigneffect |
| Function to perform full ANES weighting on selected variables. | print.anesrakelist rakelist rakeonvar rakeonvar.default rakeonvar.factor rakeonvar.logical rakeonvar.numeric summary.anesrakelist |
| Assessment of Weighting | weightassess |
