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bigstep

Stepwise Selection for Large Data Sets

Selecting linear and generalized linear models for large data sets using modified stepwise procedure and modern selection criteria (like modifications of Bayesian Information Criterion). Selection can be performed on data which exceed RAM capacity. Bogdan et al., (2004) <doi:10.1534/genetics.103.021683>.

Versions across snapshots

VersionRepositoryFileSize
1.1.2 rolling linux/jammy R-4.5 bigstep_1.1.2.tar.gz 88.4 KiB
1.1.2 rolling linux/noble R-4.5 bigstep_1.1.2.tar.gz 88.4 KiB
1.1.2 rolling source/ R- bigstep_1.1.2.tar.gz 54.4 KiB
1.1.2 latest linux/jammy R-4.5 bigstep_1.1.2.tar.gz 88.4 KiB
1.1.2 latest linux/noble R-4.5 bigstep_1.1.2.tar.gz 88.4 KiB
1.1.2 latest source/ R- bigstep_1.1.2.tar.gz 54.4 KiB
1.1.2 2026-04-26 source/ R- bigstep_1.1.2.tar.gz 54.4 KiB
1.1.2 2026-04-23 source/ R- bigstep_1.1.2.tar.gz 54.4 KiB
1.1.2 2026-04-09 windows/windows R-4.5 bigstep_1.1.2.zip 92.9 KiB
1.1.2 2025-04-20 source/ R- bigstep_1.1.2.tar.gz 54.4 KiB

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