Package: unusualprofile 0.1.4

unusualprofile: Calculates Conditional Mahalanobis Distances

Calculates a Mahalanobis distance for every row of a set of outcome variables (Mahalanobis, 1936 <doi:10.1007/s13171-019-00164-5>). The conditional Mahalanobis distance is calculated using a conditional covariance matrix (i.e., a covariance matrix of the outcome variables after controlling for a set of predictors). Plotting the output of the cond_maha() function can help identify which elements of a profile are unusual after controlling for the predictors.

Authors:W. Joel Schneider [aut, cre], Feng Ji [aut]

unusualprofile_0.1.4.tar.gz
unusualprofile_0.1.4.zip(r-4.5)unusualprofile_0.1.4.zip(r-4.4)unusualprofile_0.1.4.zip(r-4.3)
unusualprofile_0.1.4.tgz(r-4.4-any)unusualprofile_0.1.4.tgz(r-4.3-any)
unusualprofile_0.1.4.tar.gz(r-4.5-noble)unusualprofile_0.1.4.tar.gz(r-4.4-noble)
unusualprofile_0.1.4.tgz(r-4.4-emscripten)unusualprofile_0.1.4.tgz(r-4.3-emscripten)
unusualprofile.pdf |unusualprofile.html✨
unusualprofile/json (API)
NEWS

Peer review:

Bug tracker:https://github.com/wjschne/unusualprofile/issues

On CRAN:

5 exports 2 stars 0.94 score 37 dependencies 16 scripts 268 downloads

Last updated 7 months agofrom:6d7bd1745e. Checks:OK: 7. Indexed: yes.

Exports:cond_mahais_singularp2labelproportion_roundproportion2percentile

Dependencies:clicolorspacecpp11dplyrfansifarvergenericsggnormalviolinggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr