High-Performance Open-Source Archive
Provides statistical diagnostics to evaluate whether proxy indicators reliably represent an unobservable target construct. The main function 'senser()' assesses proxies across multiple dimensions including monotonicity, information content, stability, distributional alignment, and potential bias risk. It prints a concise, interpretable summary suitable for analytical and policy-oriented assessment, without claiming causal inference.
| Version: | 0.1.0 |
| Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-02-25 |
| DOI: | 10.32614/CRAN.package.senseR |
| Author: | Joko Ade Nursiyono
|
| Maintainer: | Joko Ade Nursiyono <jokoadenursiyono at gmail.com> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | senseR results |
| Reference manual: | senseR.html , senseR.pdf |
| Vignettes: |
senseR-introduction (source, R code) |
| Package source: | senseR_0.1.0.tar.gz |
| Windows binaries: | r-devel: senseR_0.1.0.zip, r-release: senseR_0.1.0.zip, r-oldrel: senseR_0.1.0.zip |
| macOS binaries: | r-release (arm64): senseR_0.1.0.tgz, r-oldrel (arm64): senseR_0.1.0.tgz, r-release (x86_64): senseR_0.1.0.tgz, r-oldrel (x86_64): senseR_0.1.0.tgz |
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