Detects variable types (continuous, count, binary, ordinal, categorical) and selects the appropriate correlation method for each pair. Supports Pearson, Spearman, Kendall's tau, point-biserial, rank-biserial, phi, tetrachoric, polychoric, polyserial, Cramer's V, Tschuprow's T, Theil's U, Yule's Q, and Goodman-Kruskal's gamma, each with a confidence interval and p-value. Explains the selection rationale in the output, follows tidy data principles, and works in both interactive and scripted workflows. The methodology is described in Harshvardhan and Ranjan (2026) <doi:10.48550/arXiv.2607.22285>.
| Version: | 1.0.1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | cli (≥ 3.0.0), generics, ggplot2 (≥ 3.4.0), graphics, grDevices, mvtnorm, polycor, rlang (≥ 1.0.0), stats, tibble, utils, withr |
| Suggests: | knitr, MASS, rmarkdown, testthat (≥ 3.0.0) |
| Published: | 2026-08-09 |
| DOI: | 10.32614/CRAN.package.smartcor |
| Author: | M. Harshvardhan [aut, cre, cph], Pritam Ranjan [aut, cph] |
| Maintainer: | M. Harshvardhan <harshvardhan at aus.edu> |
| BugReports: | https://github.com/harshvardhaniimi/smartcor/issues |
| License: | GPL (≥ 3) |
| URL: | https://harshvardhaniimi.github.io/smartcor/, https://github.com/harshvardhaniimi/smartcor |
| NeedsCompilation: | no |
| Citation: | smartcor citation info |
| Materials: | README, NEWS |
| CRAN checks: | smartcor results |
| Reference manual: | smartcor.html , smartcor.pdf |
| Vignettes: |
Confidence intervals and p-values (source, R code) Getting Started with smartcor (source, R code) Choosing the Right Correlation Method: Theory and Rationale (source, R code) |
| Package source: | smartcor_1.0.1.tar.gz |
| Windows binaries: | r-devel: smartcor_1.0.1.zip, r-release: smartcor_1.0.1.zip, r-oldrel: smartcor_1.0.1.zip |
| macOS binaries: | r-release (arm64): smartcor_1.0.1.tgz, r-oldrel (arm64): smartcor_1.0.1.tgz, r-release (x86_64): smartcor_1.0.1.tgz, r-oldrel (x86_64): smartcor_1.0.1.tgz |
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