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BTSR
View on CRAN: Click
here
Download and install BTSR package within the R console
Install from CRAN:
install.packages("BTSR")
Install from Github:
library("remotes")
install_github("cran/BTSR")
Install by package version:
library("remotes")
install_version("BTSR", "0.1.5")
Attach the package and use:
library("BTSR")
Maintained by
Taiane Schaedler Prass
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-08
Latest Update: 2023-01-20
Description:
Simulate, estimate and forecast a wide range of regression based dynamic models for bounded time series, covering the most commonly applied models in the literature. The main calculations are done in 'FORTRAN', which translates into very fast algorithms. The main references are
Bayer et al. (2017) ,
Pumi et al. (2019) ,
Pumi et al. (2021) and
Pumi et al. (2022) .
How to cite:
Taiane Schaedler Prass (2022). BTSR: Bounded Time Series Regression. R package version 0.1.5, https://cran.r-project.org/web/packages/BTSR
Previous versions and publish date:
Other packages that cited BTSR R package
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Other R packages that BTSR depends,
imports, suggests or enhances
Functions, R codes and Examples using
the BTSR R package
Some associated functions: BARC.functions . BARFIMA.functions . BTSR.Package . GARFIMA.functions . KARFIMA.functions . UWARFIMA.functions . btsr.functions . coefs.start . fit.control . link.btsr . predict.btsr . print.btsr . summary .
Some associated R codes: barc.R . barfima.R . btsr.R . extract.R . fit.R . garfima.R . generic.R . karfima.R . link.R . pred.R . rng.R . simu.R . utils.R . uwarfima.R . Full BTSR package functions and examples
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