Package: ivgets 0.1.2
Kurle Jonas
ivgets: General to Specific Modeling and Indicator Saturation in 2SLS Models
Provides facilities of general to specific model selection for exogenous regressors in 2SLS models. Furthermore, indicator saturation methods can be used to detect outliers and structural breaks in the sample.
Authors:
ivgets_0.1.2.tar.gz
ivgets_0.1.2.zip(r-4.5)ivgets_0.1.2.zip(r-4.4)ivgets_0.1.2.zip(r-4.3)
ivgets_0.1.2.tgz(r-4.4-any)ivgets_0.1.2.tgz(r-4.3-any)
ivgets_0.1.2.tar.gz(r-4.5-noble)ivgets_0.1.2.tar.gz(r-4.4-noble)
ivgets_0.1.2.tgz(r-4.4-emscripten)ivgets_0.1.2.tgz(r-4.3-emscripten)
ivgets.pdf |ivgets.html✨
ivgets/json (API)
NEWS
| # Install 'ivgets' in R: |
| install.packages('ivgets', repos = c('https://jkurle.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jkurle/ivgets/issues
- artificial2sls - Artificial data set for illustration.
- artificial2sls_contaminated - Artificial data set with outliers for illustration.
- artificial2sls_shiny - Artificial data set without outliers prepared for shiny application.
Last updated 4 months agofrom:b6f077ce27. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-win | OK | Nov 12 2024 |
| R-4.5-linux | OK | Nov 12 2024 |
| R-4.4-win | OK | Nov 12 2024 |
| R-4.4-mac | OK | Nov 12 2024 |
| R-4.3-win | OK | Nov 12 2024 |
| R-4.3-mac | OK | Nov 12 2024 |
Exports:extract_variablesfactory_indicatorsivDiagivgetsivisativregFunnew_formula
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsgetsggplot2gluegtableisobandivreglabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Artificial data set for illustration. | artificial2sls |
| Artificial data set with outliers for illustration. | artificial2sls_contaminated |
| Artificial data set without outliers prepared for shiny application. | artificial2sls_shiny |
| Extract the first and second stage regressors of ivreg formula | extract_variables |
| Function factory for creating indicators from their names | factory_indicators |
| Gets modeling on an ivreg object | gets.ivreg |
| Indicator saturation modeling on an ivreg object | isat.ivreg |
| User diagnostics for getsFun() and isat() | ivDiag |
| General-to-specific modeling for 2SLS models | ivgets |
| Indicator saturation modeling for 2SLS models | ivisat |
| User estimator ivreg for getsFun() and isat() | ivregFun |
| Takes ivreg formula and returns formula compatible with model selection | new_formula |