Dataset Comparison with 'CDISC' Validation for Clinical Trial Data // A general-purpose toolkit for comparing any two data frames with optional 'CDISC' (Clinical Data Interchange Standards Consortium) validation for clinical trial data. Core comparison functions work on arbitrary datasets: variable-level and observation-level comparison, data type checking, metadata attribute analysis (types, labels, lengths, formats), missing value handling, key-based row matching, tolerance-based numeric comparisons, and group-wise comparisons. Optional z-score outlier detection is available when enabled. When working with clinical data, the package additionally validates 'SDTM' (Study Data Tabulation Model) and 'ADaM' (Analysis Data Model) datasets against CDISC standards (SDTM IG 3.3/3.4, ADaM IG 1.1/1.2/1.3), automatically detecting domains and flagging non- conformant variables. Generates unified comparison reports in text or HTML format with interactive dashboards. For CDISC standards, see https://www.cdisc.org/standards.