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.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.1) |
| Imports: | lavaan, magrittr, dplyr, tidyr, tibble, stats, purrr, simstandard (≥ 0.6.3), ggplot2, ggnormalviolin, rlang, patchwork, scales, ragg, lifecycle |
| Suggests: | testthat, knitr, glue, mvtnorm, kableExtra, forcats, stringr, rmarkdown, covr, roxygen2, bookdown |
| Published: | 2021-05-13 |
| Author: | W. Joel Schneider 
[aut, cre],
Feng Ji [aut] |
| Maintainer: | W. Joel Schneider <w.joel.schneider at gmail.com> |
| BugReports: | https://github.com/wjschne/unusualprofile/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/wjschne/unusualprofile |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README NEWS |
| CRAN checks: | unusualprofile results |
Documentation:
| Reference manual: | unusualprofile.pdf |
| Vignettes: |
Introduction to the unusualprofile package Calculations performed by the unusualprofile package |
Downloads:
| Package source: | unusualprofile_0.1.0.tar.gz |
| Windows binaries: | r-devel: unusualprofile_0.1.0.zip, r-release: unusualprofile_0.1.0.zip, r-oldrel: unusualprofile_0.1.0.zip |
| macOS binaries: | r-release (arm64): unusualprofile_0.1.0.tgz, r-oldrel (arm64): unusualprofile_0.1.0.tgz, r-release (x86_64): unusualprofile_0.1.0.tgz, r-oldrel (x86_64): unusualprofile_0.1.0.tgz |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=unusualprofile to link to this page.