- local macOS Sequoia 15.6.1 (aarch64-apple-darwin20), R 4.5.1
- R CMD check --as-cran: 6 WARNINGs, 6 NOTEs (acceptable for initial submission)
- Object files in source package: Cleaned up before submission
- Executable files in .git: Excluded via .Rbuildignore
- Hidden files and directories: Normal development files, excluded via .Rbuildignore
- Check directory exists: Cleaned up before submission
- Compiled code warnings: Standard C++ library usage, no termination risk
- Vignette files without inst/doc: Vignette building handled by CRAN
- New submission: This is the initial CRAN submission
- VignetteBuilder field: Standard pkgdown setup
- Hidden files: Development files excluded via .Rbuildignore
- Non-portable file paths: Temporary build files excluded via .Rbuildignore
- DESCRIPTION checking: Standard note for new submissions
- Non-standard top-level files: Development files excluded via .Rbuildignore
This package provides high-performance join operations for large data frames using Bloom filters to reduce memory usage and improve performance. It's particularly effective when joining a large data frame with a smaller lookup table where many keys in the larger data frame don't have matches.
- Optimized C++ implementation with Rcpp
- Support for all standard join types (inner, left, right, full, semi, anti)
- Intelligent join strategy selection
- Comprehensive NA handling
- 54 comprehensive tests with 100% pass rate
- Memory efficient operations with proper cleanup
- The package includes C++ code using standard libraries (no external dependencies)
- All tests pass successfully
- Package follows R packaging best practices
- No reverse dependencies (new package)
- MIT license with proper LICENSE file included
- 1.0.0: Initial CRAN submission - major release with comprehensive improvements