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citestR

Conditional Independence of Missingness Test

Tests whether missingness in explanatory variables is conditionally independent of the outcome, given observed data. Uses multiply-imputed datasets and cross-validated classifiers to produce a test statistic and p-value, with a sensitivity parameter (kappa) for calibrating interpretation. Wraps the 'citest' 'Python' engine via a local 'FastAPI' server over 'HTTP', so no 'reticulate' dependency is needed at runtime.

Versions across snapshots

VersionRepositoryFileSize
0.1.1 rolling linux/jammy R-4.5 citestR_0.1.1.tar.gz 100.9 KiB
0.1.1 rolling linux/noble R-4.5 citestR_0.1.1.tar.gz 100.7 KiB
0.1.1 rolling source/ R- citestR_0.1.1.tar.gz 26.5 KiB
0.1.1 latest linux/jammy R-4.5 citestR_0.1.1.tar.gz 100.9 KiB
0.1.1 latest linux/noble R-4.5 citestR_0.1.1.tar.gz 100.7 KiB
0.1.1 latest source/ R- citestR_0.1.1.tar.gz 26.5 KiB
0.1.1 2026-04-26 source/ R- citestR_0.1.1.tar.gz 26.5 KiB
0.1.1 2026-04-23 source/ R- citestR_0.1.1.tar.gz 26.5 KiB
0.1.1 2026-04-09 windows/windows R-4.5 citestR_0.1.1.zip 105.5 KiB

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