About | Modeling Matrix-variate non-Gaussian Distributions | Matrix-Variate Non-Gaussian Distributions | Model | Case-Deletion | Data Input | Functions | MVVG Model | MVNIG Model | Case Deletion | Prediction | References
This package is considered a duplicate. The official version of this package is found at:https://soonsk-vcu.r-universe.dev/MVNGmod
Package: MVNGmod 0.1.2
Samuel Soon
MVNGmod: Matrix-Variate Non-Gaussian Linear Regression Models
Fits matrix-variate variance-gamma (MVVG) and matrix-variate normal-inverse-Gaussian (MVNIG) linear regression models using expectation-conditional maximization (ECM) algorithms. The models accommodate clustered matrix-valued responses, with unequal numbers of observations across subjects, correlated responses, skewness, and within-subject dependence. Functions are provided for model fitting, prediction, and subject-level influence assessment using approximate generalized Cook's distances. The package also includes motivating periodontal data from Gullah-speaking African Americans with Type-II diabetes. For details on the underlying matrix-variate distributions (MVVG and MVNIG), see Gallaugher and McNicholas (2019, <doi:10.1016/j.spl.2018.08.012>).
Authors:
MVNGmod_0.1.2.tar.gz
MVNGmod_0.1.2.zip(r-4.7-any)
MVNGmod_0.1.2.tar.gz(r-4.7-any)MVNGmod_0.1.2.tar.gz(r-4.6-any)
MVNGmod_0.1.2.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://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/soonsk-vcu/mvngmod/issues
Datasets:
- 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:f1394ddb75. Checks:5 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 204 | ||
| source / vignettes | OK | 210 | ||
| linux-release-x86_64 | OK | 160 | ||
| windows-devel-x86_64 | OK | 97 | ||
| wasm-release | OK | 167 |
Exports:case_delMVNIGmodMVVGmodpredict
Dependencies:abindbackportsbase64encBesselbootbroombslibcachemcarcarDatacliclusterGenerationcolorspacecowplotcpp11DerivdigestDistributionUtilsdoBydplyrevaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2gluegmpgtablehighrhtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmtestmagrittrMASSmatlibMatrixmatrixcalcMatrixModelsmaxLikmemoisemgcvmimeminqamiscToolsmodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpracmapurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrglrlangrmarkdownRmpfrrstudioapiS7sandwichsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytextruncnormurcautf8vctrsviridisLitewithrxfunxtableyamlzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Case Deletion for MVNG Models | case_del |
| GAAD Data | gaad_cov |
| GAAD Data | gaad_res |
| MVVG Parameter Format | gaad_theta_mvvg |
| ECM Estimation for Matrix-Variate Normal-Inverse Gaussian Models | MVNIGmod |
| ECM 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 |
