Automatic Correlation Method Selection Based on Variable Types R package smartcor version 1.0.1 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>. Software 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) M. Harshvardhan <harshvardhan@aus.edu> Comprehensive R Archive Network (CRAN) M. Harshvardhan [aut, cre, cph], Pritam Ranjan [aut, cph] GPL (>= 3) 2026-08-09 application/tgz https://CRAN.R-project.org/package=smartcor doi:10.32614/CRAN.package.smartcor