Package: MVNGmod 0.1.0
Samuel Soon
MVNGmod: Matrix-Variate Non-Gaussian Linear Regression Models
An implementation of the expectation conditional maximization (ECM) algorithm for matrix-variate variance gamma (MVVG) and normal-inverse Gaussian (MVNIG) linear models. These models are designed for settings of multivariate analysis with clustered non-uniform observations and correlated responses. The package includes fitting and prediction functions for both models, and an example dataset from a periodontal on Gullah-speaking African Americans, with responses in 'gaad_res', and covariates in 'gaad_cov'. For more details on the matrix-variate distributions used, see Gallaugher & McNicholas (2019) <doi:10.1016/j.spl.2018.08.012>.
Authors:
MVNGmod_0.1.0.tar.gz
MVNGmod_0.1.0.zip(r-4.7-any)MVNGmod_0.1.0.zip(r-4.6-any)MVNGmod_0.1.0.zip(r-4.5-any)
MVNGmod_0.1.0.tgz(r-4.6-any)MVNGmod_0.1.0.tgz(r-4.5-any)
MVNGmod_0.1.0.tar.gz(r-4.7-any)MVNGmod_0.1.0.tar.gz(r-4.6-any)
MVNGmod_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MVNGmod/json (API)
| # Install 'MVNGmod' in R: |
| install.packages('MVNGmod', repos = c('https://soonsk-vcu.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/soonsk-vcu/mvngmod/issues
- gaad_cov - GAAD Data
- gaad_res - GAAD Data
- gaad_theta_mvvg - MVVG Parameter Format
- theta_mvnig - Toy Response Initial Parameter
- theta_mvvg - Toy Response Initial Parameter
- X - Toy Covariate Matrices
- Y - Toy Response Matrices
Last updated from:4cf9742b10. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 199 | ||
| source / vignettes | OK | 202 | ||
| linux-release-x86_64 | OK | 185 | ||
| macos-release-arm64 | OK | 126 | ||
| macos-oldrel-arm64 | OK | 149 | ||
| windows-devel | OK | 88 | ||
| windows-release | OK | 78 | ||
| windows-oldrel | OK | 96 | ||
| wasm-release | OK | 187 |
Exports:MVNIGmodMVVGmodpredict
Dependencies:abindbackportsbase64encBesselbootbroombslibcachemcarcarDatacliclusterGenerationcolorspacecowplotcpp11DerivdigestDistributionUtilsdoBydplyrevaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2gluegmpgtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmtestmagrittrMASSmatlibMatrixMatrixModelsmaxLikmemoisemgcvmimeminqamiscToolsmodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpracmapurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrglrlangrmarkdownRmpfrrstudioapiS7sandwichsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytextruncnormurcautf8vctrsviridisLitewithrxfunxtableyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| GAAD Data | gaad_cov |
| GAAD Data | gaad_res |
| MVVG Parameter Format | gaad_theta_mvvg |
| AECM Estimation for Matrix-Variate Normal-Inverse Gaussian Models | MVNIGmod |
| AECM Estimation for Matrix-Variate Variance Gamma (MVVG) Models | MVVGmod |
| MVNG Model Prediction | predict |
| Toy Response Initial Parameter (MVNIG) | theta_mvnig |
| Toy Response Initial Parameter (MVVG) | theta_mvvg |
| Toy Covariate Matrices | X |
| Toy Response Matrices | Y |
