Package: MTest 1.0.1

MTest: A Procedure for Multicollinearity Testing using Bootstrap

Functions for detecting multicollinearity. This test gives statistical support to two of the most famous methods for detecting multicollinearity in applied work: Klein’s rule and Variance Inflation Factor (VIF). See the URL for the papers associated with this package, as for instance, Morales-Oñate and Morales-Oñate (2015) <doi:10.33333/rp.vol51n2.05>.

Authors:Víctor Morales-Oñate [aut, cre], Bolívar Morales-Oñate [aut]

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Bug tracker:https://github.com/vmoprojs/mtest/issues

On CRAN:

2 exports 1 stars 0.83 score 59 dependencies 3 scripts 156 downloads

Last updated 12 months agofrom:d120e86db3. Checks:OK: 7. Indexed: yes.

Exports:MTestpairwiseKStest

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr