Package: SpectralMM 0.2.0

Xun-Jian Li

SpectralMM: Spectral Majorization for Statistical Estimation

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.

Authors:Xun-Jian Li [aut, cre]

SpectralMM_0.2.0.tar.gz
SpectralMM_0.2.0.zip(r-4.7-x86_64)SpectralMM_0.2.0.zip(r-4.7-arm64)SpectralMM_0.2.0.zip(r-4.6-x86_64)SpectralMM_0.2.0.zip(r-4.6-arm64)SpectralMM_0.2.0.zip(r-4.5-x86_64)
SpectralMM_0.2.0.tgz(r-4.6-x86_64)SpectralMM_0.2.0.tgz(r-4.6-arm64)SpectralMM_0.2.0.tgz(r-4.5-x86_64)SpectralMM_0.2.0.tgz(r-4.5-arm64)
SpectralMM_0.2.0.tar.gz(r-4.7-arm64)SpectralMM_0.2.0.tar.gz(r-4.7-x86_64)SpectralMM_0.2.0.tar.gz(r-4.6-arm64)SpectralMM_0.2.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
SpectralMM/json (API)

# Install 'SpectralMM' in R:
install.packages('SpectralMM', repos = c('https://xunjian-li.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/xunjian-li/spectralmm/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

openblascpp

4.23 score 6 stars 14 scripts 30 downloads 8 exports 2 dependencies

Last updated from:01f3a5dc85. Checks:14 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK100
linux-devel-x86_64OK145
source / vignettesOK196
linux-release-arm64OK104
linux-release-x86_64OK151
macos-release-arm64OK104
macos-release-x86_64OK282
macos-oldrel-arm64OK105
macos-oldrel-x86_64OK269
windows-devel-arm64OK198
windows-devel-x86_64OK104
windows-release-arm64OK193
windows-release-x86_64OK124
windows-oldrel-x86_64OK106
wasm-releaseFAIL94

Exports:expectilepseudo_hubersmooth_quantilespectralmm_controlspectralmm_diagnosticsspectralmm_fitspectralmm_glmstudent_t

Dependencies:RcppRcppEigen

Readme and manuals

Help Manual

Help pageTopics
Spectral Majorization for Statistical EstimationSpectralMM-package SpectralMM
Non-GLM Loss Specificationsexpectile pseudo_huber smooth_quantile student_t
Fit Statistical Models with SpectralMMspectralmm_control spectralmm_diagnostics spectralmm_fit spectralmm_glm
Extract Results from a SpectralMM Fitcoef.spectralmm_native confint.spectralmm_native deviance.spectralmm fitted.spectralmm logLik.spectralmm nobs.spectralmm predict.spectralmm predict.spectralmm_native print.spectralmm print.spectralmm_native print.summary.spectralmm print.summary.spectralmm_native residuals.spectralmm spectralmm_methods summary.spectralmm summary.spectralmm_native vcov.spectralmm_native