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smartcor  

Automatic Correlation Method Selection Based on Variable Types
View on CRAN: Click here


Download and install smartcor package within the R console
Install from CRAN:
install.packages("smartcor")

Install from Github:
library("remotes")
install_github("cran/smartcor")

Install by package version:
library("remotes")
install_version("smartcor", "1.0.1")



Attach the package and use:
library("smartcor")
Maintained by
M. Harshvardhan
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-08-09
Latest Update: 2026-08-09
Description:
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>.
How to cite:
M. Harshvardhan (2026). smartcor: Automatic Correlation Method Selection Based on Variable Types. R package version 1.0.1, https://cran.r-project.org/web/packages/smartcor. Accessed 04 Oct. 2026.
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