Rdocumentation
powered by
Learn R Programming
GlarmaVarSel (version 1.0)
Variable Selection in Sparse GLARMA Models
Description
Performs variable selection in high-dimensional sparse GLARMA models. For further details we refer the reader to the paper Gomtsyan et al. (2020),
.
Copy Link
Link to current version
Version
Version
1.0
Install
install.packages('GlarmaVarSel')
Monthly Downloads
243
Version
1.0
License
GPL-2
Maintainer
Marina Gomtsyan
Last Published
September 16th, 2021
Functions in GlarmaVarSel (1.0)
Search all functions
variable_selection
Variable selection
grad_hess_beta
Gradient and Hessian of the log-likelihood with respect to beta
NR_gamma
Newton-Raphson method for estimation of gamma
Y
Observation matrix Y
grad_hess_gamma
Gradient and Hessian of the log-likelihood with respect to gamma
GlarmaVarSel-package
GlarmaVarSel