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

sValues_0.1.6.9.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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:

4.43 score 3 stars 18 scripts 353 downloads 5 exports 23 dependencies

Last updated from:59c7500ff8. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	158
source / vignettes	OK	180
linux-release-x86_64	NOTE	153
macos-release-arm64	NOTE	109
macos-oldrel-arm64	NOTE	101
windows-devel	NOTE	93
windows-release	NOTE	95
windows-oldrel	NOTE	133
wasm-release	OK	125

Exports:betas extreme_bounds s_values sValues t_values

Dependencies:cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle magrittr plyr R6 RColorBrewer Rcpp reshape2 rlang S7 scales stringi stringr vctrs viridisLite withr

Brief Introduction to the sValues Package

Rendered fromsValues.Rnwusingknitr::knitr

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