Introduction | Dataset | Selecting Auxiliary Variables via LASSO | Variable selection using auxvecLASSO | Understanding the Output | Selected variables | By outcome | Selected lambdas | Penalty factors | Goodness-of-fit | Metrics | Coefficients at Lambda Min | Interaction metadata | Assessing Auxiliary Vector Calibration and Diagnostics | Choice of auxiliary vector to examine | Preparations | Calling the assessment function | Weight variation metrics | Register variable diagnostics | Survey variable diagnostics | Conclusion
Package: auxvecLASSO 0.1.1
auxvecLASSO: LASSO Auxiliary Variable Selection and Auxiliary Vector Diagnostics
Provides tools for assessing and selecting auxiliary variables using LASSO. The package includes functions for variable selection and diagnostics, facilitating survey calibration analysis with emphasis on robust auxiliary vector selection. For more details see Tibshirani (1996) <doi:10.1111/j.2517-6161.1996.tb02080.x> and Caughrey and Hartman (2017) <doi:10.2139/ssrn.3494436>.
Authors:
auxvecLASSO_0.1.1.tar.gz
auxvecLASSO_0.1.1.zip(r-4.7-any)auxvecLASSO_0.1.1.zip(r-4.6-any)auxvecLASSO_0.1.1.zip(r-4.5-any)
auxvecLASSO_0.1.1.tgz(r-4.6-any)auxvecLASSO_0.1.1.tgz(r-4.5-any)
auxvecLASSO_0.1.1.tar.gz(r-4.7-any)auxvecLASSO_0.1.1.tar.gz(r-4.6-any)
auxvecLASSO_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
auxvecLASSO/json (API)
| # Install 'auxvecLASSO' in R: |
| install.packages('auxvecLASSO', repos = c('https://gustafanderssons.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gustafanderssons/auxveclasso-r-package/issues
Last updated from:ecb83c3aca. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 146 | ||
| source / vignettes | OK | 178 | ||
| linux-release | OK | 146 | ||
| macos-release | OK | 201 | ||
| macos-oldrel | OK | 209 | ||
| windows-devel | OK | 105 | ||
| windows-release | OK | 102 | ||
| windows-oldrel | OK | 109 | ||
| wasm-release | OK | 93 |
Exports:assess_aux_vectorestimate_mean_statsfit_outcomegenerate_population_totalsselect_auxiliary_variables_lasso_cv
Dependencies:codetoolscrayonDBIdoParallelforeachglmnetiteratorslatticeMatrixminqamitoolsnumDerivparallellypROCRcppRcppArmadilloRcppEigenshapesurveysurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Assess Auxiliary vector Calibration and Diagnostics | assess_aux_vector |
| Estimate Survey-Weighted Means (Overall or By Domain) | estimate_mean_stats |
| Fit LASSO model for a single outcome with cross-validation | fit_outcome |
| Generate population totals for a calibration design matrix | generate_population_totals |
| Print Summary of Auxiliary Vector Assessment | print.assess_aux_vector |
| Print Summary of LASSO Auxiliary Variable Selection Object | print.select_auxiliary_variables_lasso_cv |
| Select Auxiliary Variables via LASSO with Cross-Validation (Binary and Continuous Outcomes) | select_auxiliary_variables_lasso_cv |