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bigPLScox

Partial Least Squares for Cox Models with Big Matrices

v0.8.1 · Nov 18, 2025 · GPL-3

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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r-devel-macos-arm64 OK
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r-oldrel-macos-arm64 ERROR
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package dependencies

Package required but not available: ‘survcomp’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
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installed package size

  installed size is  7.2Mb
  sub-directories of 1Mb or more:
    libs   5.3Mb
OK r-oldrel-windows-x86_64

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package dependencies

Package required but not available: ‘survcomp’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
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Check History

ERROR 11 OK · 1 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE Mar 9, 2026
ERROR r-release-macos-arm64

package dependencies

Package required but not available: ‘survcomp’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
ERROR r-oldrel-macos-arm64

package dependencies

Package required but not available: ‘survcomp’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.
NOTE r-oldrel-macos-x86_64

installed package size

  installed size is  7.2Mb
  sub-directories of 1Mb or more:
    libs   5.3Mb

Dependency Network

Dependencies Reverse dependencies bigmemory bigalgebra bigSurvSGD caret doParallel foreach kernlab Rcpp risksetROC rms sgPLS survAUC survcomp survival bigPLScox

Version History

new 0.8.1 Mar 9, 2026