Package: MultiGlarmaVarSel 1.0

Marina Gomtsyan
MultiGlarmaVarSel: Variable Selection in Sparse Multivariate GLARMA Models
Performs variable selection in high-dimensional sparse GLARMA models. For further details we refer the reader to the paper Gomtsyan et al. (2022), <arxiv:2208.14721>.
Authors:
MultiGlarmaVarSel_1.0.tar.gz
MultiGlarmaVarSel_1.0.tar.gz(r-4.5-noble)MultiGlarmaVarSel_1.0.tar.gz(r-4.4-noble)
MultiGlarmaVarSel_1.0.tgz(r-4.4-emscripten)MultiGlarmaVarSel_1.0.tgz(r-4.3-emscripten)
MultiGlarmaVarSel.pdf |MultiGlarmaVarSel.html✨
MultiGlarmaVarSel/json (API)
# Install 'MultiGlarmaVarSel' in R: |
install.packages('MultiGlarmaVarSel', repos = 'https://cloud.r-project.org') |
- Y - Observation matrix Y
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:414e71fe07. Checks:1 OK, 2 WARNING. Indexed: yes.
Target | Result | Latest binary |
---|---|---|
Doc / Vignettes | OK | Apr 01 2025 |
R-4.5-linux | WARNING | Apr 01 2025 |
R-4.4-linux | WARNING | Apr 01 2025 |
Exports:grad_hess_L_etagrad_hess_L_gammaNR_gammavariable_selection
Dependencies:clicodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr
Citation
To cite package ‘MultiGlarmaVarSel’ in publications use:
Gomtsyan M (2022). MultiGlarmaVarSel: Variable Selection in Sparse Multivariate GLARMA Models. R package version 1.0, https://CRAN.R-project.org/package=MultiGlarmaVarSel.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{, title = {MultiGlarmaVarSel: Variable Selection in Sparse Multivariate GLARMA Models}, author = {Marina Gomtsyan}, year = {2022}, note = {R package version 1.0}, url = {https://CRAN.R-project.org/package=MultiGlarmaVarSel}, }
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Variable Selection in Sparse Multivariate GLARMA Models | MultiGlarmaVarSel-package MultiGlarmaVarSel |
Gradient and Hessian of the log-likelihood with respect to eta | grad_hess_L_eta |
Gradient and Hessian of the log-likelihood with respect to gamma | grad_hess_L_gamma |
Newton-Raphson method for estimation of gamma | NR_gamma |
Variable selection | variable_selection |
Observation matrix Y | Y |