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dyn  

Time Series Regression
View on CRAN: Click here


Download and install dyn package within the R console
Install from CRAN:
install.packages("dyn")

Install from Github:
library("remotes")
install_github("cran/dyn")

Install by package version:
library("remotes")
install_version("dyn", "0.2-9.6")



Attach the package and use:
library("dyn")
Maintained by
M. Leeds
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2005-05-21
Latest Update: 2018-03-19
Description:
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.
How to cite:
M. Leeds (2005). dyn: Time Series Regression. R package version 0.2-9.6, https://cran.r-project.org/web/packages/dyn. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:34), 0.2-0 (2005-05-21 21:45), 0.2-1 (2005-05-25 13:07), 0.2-2 (2005-06-04 10:59), 0.2-4 (2005-06-10 09:19), 0.2-5 (2005-06-27 23:14), 0.2-6 (2006-04-05 17:03), 0.2-8.1 (2012-03-24 06:49), 0.2-8 (2009-01-27 15:53), 0.2-9.1 (2016-12-13 07:57), 0.2-9.2 (2016-12-14 18:36), 0.2-9.3 (2017-02-09 01:01), 0.2-9 (2012-12-22 21:48)
Other packages that cited dyn R package
View dyn citation profile
Other R packages that dyn depends, imports, suggests or enhances
Complete documentation for dyn
Functions, R codes and Examples using the dyn R package
Some associated functions: baltimore . dyn-package . dyn . 
Some associated R codes: anova.dyn.R . dyn.R . model.frame.dyn.R . predict.dyn.R . update.dyn.R .  Full dyn package functions and examples
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