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Perform estimation, prediction, and simulations using the Dynamic Multiple Quantile model of Catania and Luati (2023) <doi:10.1016/j.jeconom.2022.11.002>. Can be used to estimate a set of conditional time-varying quantiles of a time series that do not cross.
Version: | 0.1.2 |
Depends: | R (≥ 3.6.0), Rsolnp, DEoptim, MASS, parallel |
Imports: | Rcpp (≥ 0.12.17) |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2023-10-28 |
DOI: | 10.32614/CRAN.package.DMQ |
Author: | Leopoldo Catania [cre, aut], Alessandra Luati [ctb] |
Maintainer: | Leopoldo Catania <leopoldo.catania at econ.au.dk> |
License: | GPL-3 |
NeedsCompilation: | yes |
Citation: | DMQ citation info |
Materials: | ChangeLog |
CRAN checks: | DMQ results |
Reference manual: | DMQ.pdf |
Package source: | DMQ_0.1.2.tar.gz |
Windows binaries: | r-devel: DMQ_0.1.2.zip, r-release: DMQ_0.1.2.zip, r-oldrel: DMQ_0.1.2.zip |
macOS binaries: | r-release (arm64): DMQ_0.1.2.tgz, r-oldrel (arm64): DMQ_0.1.2.tgz, r-release (x86_64): DMQ_0.1.2.tgz, r-oldrel (x86_64): DMQ_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.