Package: IRCcheck 1.0.0

IRCcheck: Irrepresentable Condition Check

Check the irrepresentable condition (IRC) in both L1-regularized regression <doi:10.1109/TIT.2006.883611> and Gaussian graphical models. The IRC requires that the important and unimportant variables are not correlated, at least not all that much, and it is necessary for consistent model selection. Exploring the IRC as a function of the number of variables, assumed sparsity, and effect size can provide valuable insights into the model selection properties of L1-regularization.

Authors:Donald Williams [aut, cre]

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IRCcheck.pdf |IRCcheck.html✨
IRCcheck/json (API)

Peer review:

Bug tracker:https://github.com/donaldrwilliams/irccheck/issues

On CRAN:

5 exports 2 stars 0.83 score 78 dependencies 1 scripts 170 downloads

Last updated 3 years agofrom:0dcfe6d3af. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:constrainedgen_netirc_ggmirc_regressionsymm_mat

Dependencies:backportsbitbit64broombroom.helpersclicliprcodacodetoolscolorspacecorpcorcpp11crayondplyrfansifarverforcatsforeachgenericsGGallyGGMncvggplot2ggstatsglassoFastglmnetgluegtablehavenhmsisobanditeratorslabelinglabelledlatticelifecyclemagrittrMASSmathjaxrMatrixmgcvmunsellnetworknlmenumDerivpatchworkpbapplypillarpkgconfigplyrprettyunitsprogresspurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreshaperlangscalesshapesnastatnet.commonstringistringrsurvivaltibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr