Background | Reduced-rank mixture models in multivariate regression | Getting started: Installation | A real data example: tuna data | Parameter estimation using rrmix() | Parameter tuning with tune.rrmix() | Interpretation of final model | Comparison with existing R package rrpack | Wrapping up | References
Package: rrMixture 0.1-2
rrMixture: Reduced-Rank Mixture Models
We implement full-ranked, rank-penalized, and adaptive nuclear norm penalized estimation methods using multivariate mixture models proposed by Kang, Chen, and Yao (2022+).
Authors:
rrMixture_0.1-2.tar.gz
rrMixture_0.1-2.zip(r-4.7)rrMixture_0.1-2.zip(r-4.6)rrMixture_0.1-2.zip(r-4.5)
rrMixture_0.1-2.tgz(r-4.6-x86_64)rrMixture_0.1-2.tgz(r-4.6-arm64)rrMixture_0.1-2.tgz(r-4.5-x86_64)rrMixture_0.1-2.tgz(r-4.5-arm64)
rrMixture_0.1-2.tar.gz(r-4.7-arm64)rrMixture_0.1-2.tar.gz(r-4.7-x86_64)rrMixture_0.1-2.tar.gz(r-4.6-arm64)rrMixture_0.1-2.tar.gz(r-4.6-x86_64)
rrMixture_0.1-2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
rrMixture/json (API)
| # Install 'rrMixture' in R: |
| install.packages('rrMixture', repos = c('https://syeonkang.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:6c87645d9b. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 147 | ||
| linux-devel-x86_64 | OK | 129 | ||
| source / vignettes | OK | 569 | ||
| linux-release-arm64 | OK | 173 | ||
| linux-release-x86_64 | OK | 135 | ||
| macos-release-arm64 | OK | 91 | ||
| macos-release-x86_64 | OK | 196 | ||
| macos-oldrel-arm64 | OK | 133 | ||
| macos-oldrel-x86_64 | OK | 225 | ||
| windows-devel | OK | 148 | ||
| windows-release | OK | 114 | ||
| windows-oldrel | OK | 93 | ||
| wasm-release | OK | 157 |
Exports:initialize.pararrmixrrmix.sim.normtune.rrmix
Dependencies:gtoolslatticeMASSMatrixmatrixcalcRcppRcppArmadillo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Initialization of Parameter Estimates | initialize.para |
| Visualize rrmix Objects | plot plot.rrmix plot.tune.rrmix |
| Reduced-Rank Mixture Models in Multivariate Regression | rrmix |
| Simulation Data Generator | rrmix.sim.norm |
| rrMixture: Reduced-Rank Mixture Models. | rrMixture |
| Summarize rrmix Objects | summary summary.rrmix summary.tune.rrmix |
| Reduced-rank mixture models with optimal tuning parameter(s) | tune.rrmix |
