Releases: CUD2V/pccc
Releases · CUD2V/pccc
CRAN Version 1.0.6
Bug fixes
- Code fixes -- most of these codes were flagging transplant but not the primary organ system; these were present in original publication but missing from this package
- 996.83 added to CVD - it was flagging transplant but not CVD
- 996.84 added to respiratory
- 996.81 added to renal
- 996.82, 996.86, 996.87 added to gi
- ICD10 codes added to CVD: T86.20, T86.21, T86.22
- M4330 is not a valid code, corrected to M433 (impacts congeni_genetic)
- Add Z94.0 to transplant
- Adjustment to build process removing C++11 requirement as now R build requires C++11 or newer.
Extensions
- Update old urls and adding some links to wayback machine snapshots
- Add key files to the package for reference
New functions:
- S3 method
as_tibble.pccc_codeshas been added to the package to replace the
deprecatedas.tblmethod sincedplyr::as.tblhas been deprecated in favor
oftibble::as_tibble
Deprecations:
as.tbl.pccc_codeshas been deprecated sincedplyr::as.tblhas been
deprecated in favor oftibble::as_tibble
Defunct functions:
test_helperwas an exported function that was used in the testing suite but
not needed by any end user. It is now defunct.
CRAN Version 1.0.4
- Updates to make code work with 1.0 version of dplyr and new vctrs (dplyr dependency).
- Removed use of dplyr from many tests.
- Updated test cases to work with new R 4.0.x feature to account for changed default to stringsAsFactors = FALSE.
CRAN Version 1.0.3
Updates to address "heap-use-after-free" issue with ASAN (AddressSanitizer) reported by CRAN. See Issue #37 for more details.
Additionally, due to updates in testthat and dplyr, updated a few unit tests.
CRAN Version 1.0.2
Removed unnecessary initializer that causes problems with pre-C++11 compilers
CRAN version 1.0.1
Resolved issue where null argument to rlang (sub-dependency of dpylr) previously worked but now fails with latest rlang release.
CRAN version 1.0.0
Tagging first release to CRAN. Function calls and API should be stable. Now seeking feedback for additional features or users to test on their own data.