The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

detectPanel 0.1.3

Changes

• Added method references to the Description field using author-year and DOI format.
• Added small executable examples for all exported functions and removed an unnecessary \dontrun{} wrapper.
• Kept \donttest{} only for the optional DESeq2 example and made its example metadata explicit factors.
• Enabled execution of the nested-validation vignette example.
• Made the test runner skip cleanly when the suggested testthat package is unavailable.

detectPanel 0.1.2

Changes

• Pre-built vignette output included in the source tarball (inst/doc).
• Added spelling whitelist (inst/WORDLIST) for CRAN incoming checks.
• Excluded local working directories from the package tarball.

detectPanel 0.1.1

Changes

• Added unit tests covering export, DESeq2 differential-expression, end-to-end discovery, and boundary/error cases.
• Added full MIT license text (LICENSE.md) and .Rbuildignore.

detectPanel 0.1.0

Initial release

detectPanel provides a leakage-aware workflow for discovery and validation of small biomarker panels.

Features

• Detectability-aware feature filtering.
• Small-panel search with nested cross-validation.
• Repeated stratified resampling utilities.
• Logistic panel fitting with automatic L2-penalized fallback for unstable or separation-prone fits.
• Prediction support for fitted detectPanel_result objects.
• Panel and feature selection-frequency summaries.
• Export and visualization utilities.

Validation

The package is covered by simulated-data tests and unit tests, including nested-validation, model-fitting, prediction, resampling, and plotting workflows. Release candidates are checked with R CMD check --as-cran.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.