stabs - Stability Selection with Error Control
Resampling procedures to assess the stability of selected variables with additional finite sample error control for high-dimensional variable selection procedures such as Lasso or boosting. Both, standard stability selection (Meinshausen & Buhlmann, 2010, <doi:10.1111/j.1467-9868.2010.00740.x>) and complementary pairs stability selection with improved error bounds (Shah & Samworth, 2013, <doi:10.1111/j.1467-9868.2011.01034.x>) are implemented. The package can be combined with arbitrary user specified variable selection approaches.
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machine-learningr-languageresamplingstability-selectionvariable-importancevariable-selection
10.19 score 27 stars 30 dependents 75 scripts 8.1k downloadsgamboostLSS - Boosting Methods for 'GAMLSS'
Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.
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boosting-algorithmsgamboostlssgamlssmachine-learningr-languagevariable-selection
8.77 score 27 stars 1 dependents 186 scripts 4.9k downloadspapeR - A Toolbox for Writing Pretty Papers and Reports
A toolbox for writing 'knitr', 'Sweave' or other 'LaTeX'- or 'markdown'-based reports and to prettify the output of various estimated models.
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knitrlatexr-languagereportingreproduciblereproducible-researchsweave
7.37 score 30 stars 1 dependents 263 scripts 437 downloads