The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

bimets: Time Series and Econometric Modeling

Time series analysis, (dis)aggregation and manipulation, e.g. time series extension, merge, projection, lag, lead, delta, moving and cumulative average and product, selection by index, date and year-period, conversion to daily, monthly, quarterly, (semi)annually. Simultaneous equation models definition, estimation, simulation and forecasting with coefficient restrictions, error autocorrelation, exogenization, add-factors, impact and interim multipliers analysis, conditional equation evaluation, rational expectations, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control.

Version: 4.0.3
Depends: R (≥ 4.0), xts, zoo
Imports: stats
Published: 2024-11-25
DOI: 10.32614/CRAN.package.bimets
Author: Andrea Luciani ORCID iD [aut, cre], Roberto Stok [aut], Bank of Italy [cph]
Maintainer: Andrea Luciani <andrea.luciani at bancaditalia.it>
BugReports: https://github.com/andrea-luciani/bimets/issues
License: GPL-3
URL: https://github.com/andrea-luciani/bimets
NeedsCompilation: no
Materials: README NEWS
In views: Econometrics
CRAN checks: bimets results

Documentation:

Reference manual: bimets.pdf
Vignettes: Getting started with bimets (source, R code)
US Federal Reserve quarterly model (FRB/US) in R with bimets (source, R code)

Downloads:

Package source: bimets_4.0.3.tar.gz
Windows binaries: r-devel: bimets_4.0.3.zip, r-release: bimets_4.0.3.zip, r-oldrel: bimets_4.0.3.zip
macOS binaries: r-release (arm64): bimets_4.0.3.tgz, r-oldrel (arm64): bimets_4.0.3.tgz, r-release (x86_64): bimets_4.0.3.tgz, r-oldrel (x86_64): bimets_4.0.3.tgz
Old sources: bimets archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bimets to link to this page.

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.
Health stats visible at Monitor.