Package: robustsur 0.0-7
robustsur: Robust Estimation for Seemingly Unrelated Regression Models
Data sets are often corrupted by outliers. When data are multivariate outliers can be classified as case-wise or cell-wise. The latters are particularly challenge to handle. We implement a robust estimation procedure for Seemingly Unrelated Regression Models which is able to cope well with both type of outliers. Giovanni Saraceno, Fatemah Alqallaf, Claudio Agostinelli (2021) <arxiv:2107.00975>.
Authors:
robustsur_0.0-7.tar.gz
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robustsur.pdf |robustsur.html✨
robustsur/json (API)
# Install 'robustsur' in R: |
install.packages('robustsur', repos = c('https://claudioagostinelli.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 3 years agofrom:1f7d4ef7f4. Checks:OK: 5 NOTE: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 16 2024 |
R-4.5-win | NOTE | Nov 16 2024 |
R-4.5-linux | NOTE | Nov 16 2024 |
R-4.4-win | OK | Nov 16 2024 |
R-4.4-mac | OK | Nov 16 2024 |
R-4.3-win | OK | Nov 16 2024 |
R-4.3-mac | OK | Nov 16 2024 |
Exports:eigenkroneckersurerob
Dependencies:cellWiseclicolorspaceDEoptimRfansifarverggplot2gluegridExtraGSEgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmepcaPPpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangrobreg3Srobustbaserrcovscalesshapestringistringrsvdtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
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Spectral Decomposition of a kronecker product of a matrix with an identity matrix | eigenkronecker |
Summary of surerob estimation | print.summary.surerob summary.surerob |
Robust estimation for Seemingly Unrelated Regression Models | print.surerob surerob |