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. Special selection strategy is available, faster than classical stepwise procedure.
|Date of publication||2017-04-05 21:57:37 UTC|
|Maintainer||Piotr Szulc <email@example.com>|
bigstep: Model selection
combineBigMatrices: Combine, transpose big matrices and change colnames
fitLinear: Linear regression
fitLogistic: Logistic regression
fitPoisson: Poisson regression
selectModel: Model selection
singleTests: Single tests
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