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bimets  

Time Series and Econometric Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bimets", "4.0.3")



Attach the package and use:
library("bimets")
Maintained by
Andrea Luciani
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-06-06
Latest Update: 2023-12-13
Description:
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, endogenous targeting and model renormalization, structural stability, stochastic simulation and forecast, optimal control.
How to cite:
Andrea Luciani (2019). bimets: Time Series and Econometric Modeling. R package version 4.0.3, https://cran.r-project.org/web/packages/bimets. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.4.0 (2019-06-06 16:10), 1.4.1 (2019-09-03 16:20), 1.4.2 (2019-10-19 13:50), 1.4.3 (2020-03-17 19:10), 1.5.0 (2020-05-29 16:00), 1.5.1 (2020-06-02 01:50), 1.5.2 (2021-01-05 19:00), 1.5.3 (2021-02-04 18:20), 2.0.1 (2022-01-06 18:00), 2.0.2 (2022-02-22 13:00), 2.1.0 (2022-04-02 20:10), 2.1.1 (2022-06-15 17:40), 2.2.0 (2022-09-02 19:30), 2.3.0 (2023-02-09 16:20), 3.0.1 (2023-05-15 18:20), 3.0.2 (2023-12-13 17:50), 4.0.1 (2024-07-10 11:40), 4.0.2 (2024-08-16 19:50)
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