Package: sparsevar 0.1.0
sparsevar: Sparse VAR/VECM Models Estimation
A wrapper for sparse VAR/VECM time series models estimation using penalties like ENET (Elastic Net), SCAD (Smoothly Clipped Absolute Deviation) and MCP (Minimax Concave Penalty). Based on the work of Sumanta Basu and George Michailidis <doi:10.1214/15-AOS1315>.
Authors:
sparsevar_0.1.0.tar.gz
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sparsevar_0.1.0.tgz(r-4.4-any)sparsevar_0.1.0.tgz(r-4.3-any)
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sparsevar.pdf |sparsevar.html✨
sparsevar/json (API)
NEWS
| # Install 'sparsevar' in R: |
| install.packages('sparsevar', repos = c('https://svazzole.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/svazzole/sparsevar/issues
econometricslassomcpscadsparsestatisticstime-seriesvarvecm
Last updated 4 years agofrom:2fbaf6080a. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 10 2024 |
| R-4.5-win | OK | Oct 10 2024 |
| R-4.5-linux | OK | Oct 10 2024 |
| R-4.4-win | OK | Oct 10 2024 |
| R-4.4-mac | OK | Oct 10 2024 |
| R-4.3-win | OK | Oct 10 2024 |
| R-4.3-mac | OK | Oct 10 2024 |
Exports:accuracybootstrappedVARcheckImpulseZerocheckIsVarcompanionVARcomputeForecastscreateSparseMatrixdecomposePierrorBandsIRFfitVARfitVARXfitVECMfrobNormimpulseResponseinformCritl1norml2normlInftyNormmaxNormmcSimulationsmultiplotplotIRFplotIRFGridplotMatrixplotVARplotVECMsimulateVARsimulateVARXspectralNormspectralRadiustestGrangertransformDatavarENETvarMCPvarSCAD
Dependencies:clicodetoolscolorspacecorpcordoParallelfansifarverforeachggplot2glmnetgluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormncvregnlmepicassopillarpkgconfigplyrR6RColorBrewerRcppRcppEigenreshape2rlangscalesshapestringistringrsurvivaltibbleutf8vctrsviridisLitewithr
