bigPLScox
Partial Least Squares for Cox Models with Big Matrices
Description
Provides Partial least squares Regression and various regular, sparse or kernel, techniques for fitting Cox models for big data. Provides a Partial Least Squares (PLS) algorithm adapted to Cox proportional hazards models that works with 'bigmemory' matrices without loading the entire dataset in memory. Also implements a gradient-descent based solver for Cox proportional hazards models that works directly on 'bigmemory' matrices. Bertrand and Maumy (2023) <https://hal.science/hal-05352069>, and <https://hal.science/hal-05352061> highlighted fitting and cross-validating PLS-based Cox models to censored big data.
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CRAN Check Status
Show all 13 flavors
| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | ERROR |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (1 non-OK)
package dependencies
Package required but not available: ‘survcomp’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
Check History
ERROR 11 OK · 1 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE Mar 10, 2026
package dependencies
Package required but not available: ‘survcomp’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
package dependencies
Package required but not available: ‘survcomp’ See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’ manual.
installed package size
installed size is 7.2Mb
sub-directories of 1Mb or more:
libs 5.3Mb