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BTSR  

Bounded Time Series Regression
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", "1.0.0")



Attach the package and use:
library("BTSR")
Maintained by
Taiane Schaedler Prass
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-11-08
Latest Update: 2025-06-18
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 1.0.0, https://cran.r-project.org/web/packages/BTSR. Accessed 16 Jul. 2026.
Previous versions and publish date:
0.1.0 (2022-11-08 15:10), 0.1.1 (2022-11-13 10:30), 0.1.2 (2022-11-18 12:50), 0.1.3 (2023-01-11 11:03), 0.1.4 (2023-01-20 08:20), 0.1.5 (2023-09-24 00:50), 1.0.0 (2025-06-18 17:10), 1.0.1 (2026-01-22 21:30), (2026-07-09 07:58)
Other packages that cited BTSR R package
View BTSR citation profile
Other R packages that BTSR depends, imports, suggests or enhances
Complete documentation for BTSR
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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