Package: bigSurvSGD 1.0.0

bigSurvSGD: Big Survival Analysis Using Stochastic Gradient Descent

Fits Cox Model via stochastic gradient descent (SGD). This implementation avoids computational instability of the standard Cox Model when dealing large datasets. Furthermore, it scales up with large datasets that do not fit the memory. It also handles large sparse datasets using Proximal stochastic gradient descent algorithm.

Authors:Aliasghar Tarkhan [aut, cre], Noah Simon [aut]

bigSurvSGD_1.0.0.tar.gz
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bigSurvSGD_1.0.0.tgz(r-4.4-x86_64)bigSurvSGD_1.0.0.tgz(r-4.4-arm64)bigSurvSGD_1.0.0.tgz(r-4.3-x86_64)bigSurvSGD_1.0.0.tgz(r-4.3-arm64)
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bigSurvSGD.pdf |bigSurvSGD.html✨
bigSurvSGD/json (API)

Peer review:

Bug tracker:https://github.com/atarkhan/bigsurvsgd/issues

On CRAN:

6 exports 7 stars 1.25 score 12 dependencies 1 scripts 188 downloads

Last updated 4 years agofrom:8dc4e4aa4b. Checks:OK: 1 NOTE: 8. Indexed: yes.

Exports:bigSurvSGDlambdaMaxConeChunkConeObsPlugingCplot.bigSurvSGDprint.bigSurvSGD

Dependencies:BHbigmemorybigmemory.sricodetoolsdoParallelforeachiteratorslatticeMatrixRcppsurvivaluuid