smartcor
Automatic Correlation Method Selection Based on Variable Types
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.1 |
rolling linux/jammy R-4.5 | smartcor_1.0.1.tar.gz |
767.9 KiB |
1.0.1 |
rolling linux/noble R-4.5 | smartcor_1.0.1.tar.gz |
767.8 KiB |
1.0.1 |
rolling source/ R- | smartcor_1.0.1.tar.gz |
643.8 KiB |
1.0.1 |
latest linux/jammy R-4.5 | smartcor_1.0.1.tar.gz |
767.9 KiB |
1.0.1 |
latest linux/noble R-4.5 | smartcor_1.0.1.tar.gz |
767.8 KiB |
1.0.1 |
latest source/ R- | smartcor_1.0.1.tar.gz |
643.8 KiB |
1.0.1 |
2026-04-23 source/ R- | smartcor_1.0.1.tar.gz |
0 B |