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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) <doi:10.1016/j.jhydrol.2017.10.006>, Pumi et al. (2019) <doi:10.1016/j.jspi.2018.10.001>, Pumi et al. (2021) <doi:10.1111/sjos.12439> and Pumi et al. (2022) <doi:10.48550/arXiv.2211.02097>.
Version: | 0.1.5 |
Depends: | R (≥ 4.0.0) |
Published: | 2023-09-23 |
DOI: | 10.32614/CRAN.package.BTSR |
Author: | Taiane Schaedler Prass
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Maintainer: | Taiane Schaedler Prass <taianeprass at gmail.com> |
License: | GPL (≥ 3) |
Copyright: | see file COPYRIGHTS |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | BTSR results |
Reference manual: | BTSR.pdf |
Package source: | BTSR_0.1.5.tar.gz |
Windows binaries: | r-devel: BTSR_0.1.5.zip, r-release: BTSR_0.1.5.zip, r-oldrel: BTSR_0.1.5.zip |
macOS binaries: | r-release (arm64): BTSR_0.1.5.tgz, r-oldrel (arm64): BTSR_0.1.5.tgz, r-release (x86_64): BTSR_0.1.5.tgz, r-oldrel (x86_64): BTSR_0.1.5.tgz |
Old sources: | BTSR archive |
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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.