sparsevar: sparsevar: A package to estimate multivariate time series...
In sparsevar: Sparse VAR/VECM Models Estimation
Description
sparsevar functions
Description
It performs the estimation of the matrices of the models using penalized
least squares methods such as LASSO, SCAD and MCP.
sparsevar functions
fitVAR, fitVECM, simulateVAR, createSparseMatrix,
plotMatrix, plotVAR, plotVECM
l2norm, l1norm, lInftyNorm, maxNorm, frobNorm,
spectralRadius, spectralNorm, impulseResponse
sparsevar documentation built on April 18, 2021, 9:08 a.m.
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Description sparsevar functions
Description
It performs the estimation of the matrices of the models using penalized least squares methods such as LASSO, SCAD and MCP.
sparsevar functions
fitVAR, fitVECM, simulateVAR, createSparseMatrix,
plotMatrix, plotVAR, plotVECM
l2norm, l1norm, lInftyNorm, maxNorm, frobNorm,
spectralRadius, spectralNorm, impulseResponse
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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