Package: ResistantProcrustes 0.1.1
ResistantProcrustes: Resistant Procrustes Methods for Multivariate Data
Provides resistant alternatives to the standard Procrustes analysis for comparing multivariate datasets, including seven resistant Procrustean methods and their associated permutation tests, as well as the standard Procrustes analysis and its permutation tests. Methods are based on Tang and Jackson (2026) "Improving and evaluating resistant alternatives to Procrustes analysis for multivariate dataset matching" <doi:10.1002/env.70073>.
Authors:
ResistantProcrustes_0.1.1.tar.gz
ResistantProcrustes_0.1.1.zip(r-4.7-any)ResistantProcrustes_0.1.1.zip(r-4.6-any)ResistantProcrustes_0.1.1.zip(r-4.5-any)
ResistantProcrustes_0.1.1.tgz(r-4.6-any)ResistantProcrustes_0.1.1.tgz(r-4.5-any)
ResistantProcrustes_0.1.1.tar.gz(r-4.7-any)ResistantProcrustes_0.1.1.tar.gz(r-4.6-any)
ResistantProcrustes_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ResistantProcrustes/json (API)
| # Install 'ResistantProcrustes' in R: |
| install.packages('ResistantProcrustes', repos = c('https://xiaozhuotang.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:6ab2e34814. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 109 | ||
| source / vignettes | OK | 166 | ||
| linux-release | OK | 126 | ||
| macos-release | OK | 189 | ||
| macos-oldrel | OK | 155 | ||
| windows-devel | OK | 82 | ||
| windows-release | OK | 70 | ||
| windows-oldrel | OK | 104 | ||
| wasm-release | OK | 89 |
Exports:Biweight_permuteHuber_permuteILMS_permuteLMS_estimatorLMS_LTS_estimatorLMS_permuteLTS_estimatorLTS_permutemajorizationmajorization_tunedMM2_estimator_no_reflectionMM2_estimator_with_reflectionMM2_permuteProcrustes_funProcrustes_permuteS_estimatorS_permute
Dependencies:alabamafBasicsfishModgllvmgssgtoolslatticeMASSMatrixmgcvnlmenloptrnumDerivRcppRcppEigenspatialstabledisttimeDatetimeSeriesTMB