Package: GlarmaVarSel 1.0
Marina Gomtsyan
GlarmaVarSel: Variable Selection in Sparse GLARMA Models
Performs variable selection in high-dimensional sparse GLARMA models. For further details we refer the reader to the paper Gomtsyan et al. (2020), <arxiv:2007.08623v1>.
Authors:
GlarmaVarSel_1.0.tar.gz
GlarmaVarSel_1.0.tar.gz(r-4.5-noble)GlarmaVarSel_1.0.tar.gz(r-4.4-noble)
GlarmaVarSel_1.0.tgz(r-4.4-emscripten)GlarmaVarSel_1.0.tgz(r-4.3-emscripten)
GlarmaVarSel.pdf |GlarmaVarSel.html✨
GlarmaVarSel/json (API)
# Install 'GlarmaVarSel' in R: |
install.packages('GlarmaVarSel', repos = c('https://cran.r-universe.dev', '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:da79cec7d0. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 19 2024 |
R-4.5-linux | OK | Dec 19 2024 |
Exports:grad_hess_betagrad_hess_gammaNR_gammavariable_selection
Dependencies:clicodetoolscolorspacefansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Variable Selection in Sparse GLARMA Models | GlarmaVarSel-package GlarmaVarSel |
Gradient and Hessian of the log-likelihood with respect to beta | grad_hess_beta |
Gradient and Hessian of the log-likelihood with respect to gamma | grad_hess_gamma |
Newton-Raphson method for estimation of gamma | NR_gamma |
Variable selection | variable_selection |
Observation matrix Y | Y |