Package: sValues 0.1.6.9
sValues: Measures of the Sturdiness of Regression Coefficients
Implements the s-values proposed by Ed. Leamer. It provides a context-minimal approach for sensitivity analysis using extreme bounds to assess the sturdiness of regression coefficients.
Authors:
sValues_0.1.6.9.tar.gz
sValues_0.1.6.9.zip(r-4.5)sValues_0.1.6.9.zip(r-4.4)sValues_0.1.6.9.zip(r-4.3)
sValues_0.1.6.9.tgz(r-4.4-any)sValues_0.1.6.9.tgz(r-4.3-any)
sValues_0.1.6.9.tar.gz(r-4.5-noble)sValues_0.1.6.9.tar.gz(r-4.4-noble)
sValues_0.1.6.9.tgz(r-4.4-emscripten)sValues_0.1.6.9.tgz(r-4.3-emscripten)
sValues.pdf |sValues.html✨
sValues/json (API)
| # Install 'sValues' in R: |
| install.packages('sValues', repos = c('https://carloscinelli.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/carloscinelli/svalues/issues
- economic_growth - Economic Growth data
- economic_growth_original - Economic Growth data
- economic_growth_sala_i_martin - Economic Growth data
Last updated 6 years agofrom:59c7500ff8. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win | NOTE | Nov 04 2024 |
| R-4.5-linux | NOTE | Nov 04 2024 |
| R-4.4-win | OK | Nov 04 2024 |
| R-4.4-mac | OK | Nov 04 2024 |
| R-4.3-win | OK | Nov 04 2024 |
| R-4.3-mac | OK | Nov 04 2024 |
Exports:betasextreme_boundss_valuessValuest_values
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrR6RColorBrewerRcppreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| sValues: measures of the sturdiness of regression coefficients | sValues-package |
| Extract sValues Model Coefficients/Statistics | betas coef.sValues extreme_bounds s_values t_values |
| Economic Growth data | economic_growth economic_growth_original economic_growth_sala_i_martin |
| Plot method for S-values | plot.sValues |
| Succinct display of S-values results. | print.sValues |
| str sValues | str.sValues |
| summary sValues | summary.sValues |
| S-values: conventional model ambiguity measures | sValues sValues.data.frame sValues.formula sValues.matrix |
