Fits generalized linear, asymmetric and robust regression models using spectral majorization and iterative quadratic subproblem solvers. A shared C++ computational core supports dense and sparse designs, automatic intercepts, optional Wald inference and detailed iteration diagnostics. Native code is compiled automatically during package installation.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | Rcpp, stats |
| LinkingTo: | Rcpp, RcppEigen |
| Suggests: | Matrix |
| Published: | 2026-10-15 |
| DOI: | 10.32614/CRAN.package.SpectralMM (may not be active yet) |
| Author: | Xun-Jian Li [aut, cre] |
| Maintainer: | Xun-Jian Li <xunjianli at ucla.edu> |
| BugReports: | https://github.com/Xunjian-Li/SpectralMM/issues |
| License: | GPL-3 |
| URL: | https://github.com/Xunjian-Li/SpectralMM |
| NeedsCompilation: | yes |
| SystemRequirements: | C++17 |
| Materials: | README |
| CRAN checks: | SpectralMM results |
| Reference manual: | SpectralMM.html , SpectralMM.pdf |
| Package source: | SpectralMM_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): SpectralMM_0.1.0.tgz, r-oldrel (arm64): SpectralMM_0.1.0.tgz, r-release (x86_64): SpectralMM_0.1.0.tgz, r-oldrel (x86_64): SpectralMM_0.1.0.tgz |
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