A collection of functions to deal with spatial and spatiotemporal autoregressive conditional heteroscedasticity (spatial ARCH and GARCH models) by Otto, Schmid, Garthoff (2018, Spatial Statistics) <arXiv:1609.00711>: simulation of spatial ARCH-type processes (spARCH, exponential spARCH, complex spARCH); quasi-maximum-likelihood estimation of the parameters of spARCH models and spatial autoregressive models with spARCH disturbances, diagnostic checks, visualizations.
Version: | 0.2.2 |
Depends: | R (≥ 3.1.0) |
Imports: | Rcpp (≥ 0.12.4), stats, truncnorm, Rsolnp, spdep, Matrix, nleqslv, methods |
LinkingTo: | Rcpp, RcppEigen, Matrix |
Published: | 2020-09-02 |
Author: | Philipp Otto |
Maintainer: | Philipp Otto <ph.otto789 at gmail.com> |
Contact: | <ph.otto789@gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
NeedsCompilation: | yes |
Citation: | spGARCH citation info |
CRAN checks: | spGARCH results |
Reference manual: | spGARCH.pdf |
Package source: | spGARCH_0.2.2.tar.gz |
Windows binaries: | r-devel: spGARCH_0.2.2.zip, r-release: spGARCH_0.2.2.zip, r-oldrel: spGARCH_0.2.2.zip |
macOS binaries: | r-release: spGARCH_0.2.2.tgz, r-oldrel: spGARCH_0.2.2.tgz |
Old sources: | spGARCH archive |
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