Showing 6 of total 6 results (show query)
boost-r
mboost:Model-Based Boosting
Functional gradient descent algorithm (boosting) for optimizing general risk functions utilizing component-wise (penalised) least squares estimates or regression trees as base-learners for fitting generalized linear, additive and interaction models to potentially high-dimensional data. Models and algorithms are described in <doi:10.1214/07-STS242>, a hands-on tutorial is available from <doi:10.1007/s00180-012-0382-5>. The package allows user-specified loss functions and base-learners.
Maintained by Torsten Hothorn. Last updated 5 months ago.
boosting-algorithmsgamglmmachine-learningmboostmodellingr-languagetutorialsvariable-selectionopenblas
72 stars 12.70 score 540 scripts 27 dependents
hofnerb
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.
Maintained by Benjamin Hofner. Last updated 4 years ago.
machine-learningr-languageresamplingstability-selectionvariable-importancevariable-selection
26 stars 9.59 score 53 scripts 31 dependentsboost-r
gamboostLSS:Boosting Methods for 'GAMLSS'
Boosting models for fitting generalized additive models for location, shape and scale ('GAMLSS') to potentially high dimensional data.
Maintained by Benjamin Hofner. Last updated 1 months ago.
boosting-algorithmsgamboostlssgamlssmachine-learningr-languagevariable-selection
26 stars 8.71 score 163 scripts 1 dependents
bergsmat
yamlet:Versatile Curation of Table Metadata
A YAML-based mechanism for working with table metadata. Supports compact syntax for creating, modifying, viewing, exporting, importing, displaying, and plotting metadata coded as column attributes. The 'yamlet' dialect is valid 'YAML' with defaults and conventions chosen to improve readability. See ?yamlet, ?decorate, ?modify, ?io_csv, and ?ggplot.decorated.
Maintained by Tim Bergsma. Last updated 1 months ago.
2 stars 5.99 score 60 scripts 1 dependents
devopifex
g2r:Interactive Grammar of Graphics
Interactive grammar of graphics.
Maintained by John Coene. Last updated 3 years ago.
119 stars 4.53 score 57 scripts
tswanson222
modnets:Modeling Moderated Networks
Methods for modeling moderator variables in cross-sectional, temporal, and multi-level networks. Includes model selection techniques and a variety of plotting functions. Implements the methods described by Swanson (2020) <https://www.proquest.com/openview/d151ab6b93ad47e3f0d5e59d7b6fd3d3>.
Maintained by Trevor Swanson. Last updated 3 years ago.
2.70 score 6 scripts