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Time series regression. The dyn class interfaces ts, irts(), zoo() and zooreg() time series classes to lm(), glm(), loess(), quantreg::rq(), MASS::rlm(), MCMCpack::MCMCregress(), quantreg::rq(), randomForest::randomForest() and other regression functions allowing those functions to be used with time series including specifications that may contain lags, diffs and missing values.
Version: | 0.2-9.6 |
Depends: | R (≥ 2.6.0), zoo (≥ 1.0-0) |
Suggests: | lattice, MASS, MCMCpack, quantreg (≥ 3.82), randomForest, sandwich, tseries |
Published: | 2018-03-19 |
DOI: | 10.32614/CRAN.package.dyn |
Author: | G. Grothendieck |
Maintainer: | M. Leeds <markleeds2 at gmail.com> |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
Copyright: | see file COPYRIGHTS |
NeedsCompilation: | no |
Materials: | NEWS |
In views: | Environmetrics, Finance, TimeSeries |
CRAN checks: | dyn results |
Reference manual: | dyn.pdf |
Package source: | dyn_0.2-9.6.tar.gz |
Windows binaries: | r-devel: dyn_0.2-9.6.zip, r-release: dyn_0.2-9.6.zip, r-oldrel: dyn_0.2-9.6.zip |
macOS binaries: | r-release (arm64): dyn_0.2-9.6.tgz, r-oldrel (arm64): dyn_0.2-9.6.tgz, r-release (x86_64): dyn_0.2-9.6.tgz, r-oldrel (x86_64): dyn_0.2-9.6.tgz |
Old sources: | dyn archive |
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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.