Package: bigstep 1.1.1
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>.
Authors:
bigstep_1.1.1.tar.gz
bigstep_1.1.1.zip(r-4.5)bigstep_1.1.1.zip(r-4.4)bigstep_1.1.1.zip(r-4.3)
bigstep_1.1.1.tgz(r-4.4-any)bigstep_1.1.1.tgz(r-4.3-any)
bigstep_1.1.1.tar.gz(r-4.5-noble)bigstep_1.1.1.tar.gz(r-4.4-noble)
bigstep_1.1.1.tgz(r-4.4-emscripten)bigstep_1.1.1.tgz(r-4.3-emscripten)
bigstep.pdf |bigstep.html✨
bigstep/json (API)
NEWS
# Install 'bigstep' in R: |
install.packages('bigstep', repos = c('https://pmszulc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/pmszulc/bigstep/issues
Last updated 2 years agofrom:ce6d720602. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:%>%aicattach.big.matrixbackwardbicfast_forwardforwardget_modelmaicmaic2mbicmbic2multi_backwardprepare_dataread.big.matrixreduce_matrixstepwise
Dependencies:BHbiglmbigmemorybigmemory.sriDBIlatticemagrittrMASSMatrixmatrixStatsR.methodsS3R.ooR.utilsRcppRcppEigenspeedglmuuid
Readme and manuals
Help Manual
Help page | Topics |
---|---|
AIC | aic |
Backward step | backward |
BIC | bic |
Model selection | bigstep |
Fast-forward step | fast_forward |
Forward step | forward |
Get the model | get_model |
mAIC | maic |
mAIC2 | maic2 |
mBIC | mbic |
mBIC2 | mbic2 |
Multi-backward step | multi_backward |
Data preparation | prepare_data |
Reducing number of variables | reduce_matrix |
Stepwise | stepwise |
Summarizing model fit | summary.big |