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:Carlos Cinelli

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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

Datasets:

economic_growth - Economic Growth data
economic_growth_original - Economic Growth data
economic_growth_sala_i_martin - Economic Growth data

On CRAN:

5 exports 3 stars 0.92 score 33 dependencies 10 scripts 156 downloads

Last updated 6 years agofrom:59c7500ff8. Checks:OK: 5 NOTE: 2. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 05 2024
R-4.5-win	NOTE	Sep 05 2024
R-4.5-linux	NOTE	Sep 05 2024
R-4.4-win	OK	Sep 05 2024
R-4.4-mac	OK	Sep 05 2024
R-4.3-win	OK	Sep 05 2024
R-4.3-mac	OK	Sep 05 2024

Exports:betas extreme_bounds s_values sValues t_values

Dependencies:cli colorspace fansi farver ggplot2 glue gtable isoband labeling lattice lifecycle magrittr MASS Matrix mgcv munsell nlme pillar pkgconfig plyr R6 RColorBrewer Rcpp reshape2 rlang scales stringi stringr tibble utf8 vctrs viridisLite withr

Brief Introduction to the sValues Package

Rendered fromsValues.Rnwusingknitr::knitron Sep 05 2024.

Last update: 2015-12-20
Started: 2015-08-02

Citation

Development and contributors

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