Package: dyn 0.2-9.6

dyn: Time Series Regression

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.

Authors:G. Grothendieck

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NEWS

# Install 'dyn' in R:
install.packages('dyn', repos = c('https://markleeds2.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.46 score 96 scripts 678 downloads 3 mentions 29 exports 2 dependencies

Last updated 7 years agofrom:b01b47b027. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winOKNov 13 2024
R-4.5-linuxOKNov 13 2024
R-4.4-winOKNov 13 2024
R-4.4-macOKNov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:$.dynanova.dyndynfitted.dynfitted.irtsfitted.itsfitted.tsfitted.zoofitted.zooregmodel.frame.dynmodel.frame.irtsmodel.frame.itsmodel.frame.tsmodel.frame.zoomodel.frame.zooregmodel.matrix.dynpredict.dynpredict.irtspredict.itspredict.tspredict.zoopredict.zooregresiduals.dynresiduals.irtsresiduals.itsresiduals.tsresiduals.zooresiduals.zooregupdate.dyn

Dependencies:latticezoo

Readme and manuals

Help Manual

Help pageTopics
Time Series Regressiondyn-package
Baltimore energy databaltimore
dynamic regression class$.dyn anova.dyn dyn fitted.dyn fitted.irts fitted.its fitted.ts fitted.zoo fitted.zooreg model.frame.dyn model.frame.irts model.frame.its model.frame.ts model.frame.zoo model.frame.zooreg model.matrix.dyn predict.dyn predict.irts predict.its predict.ts predict.zoo predict.zooreg residuals.dyn residuals.irts residuals.its residuals.ts residuals.zoo residuals.zooreg update.dyn