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PTSR: Positive Time Series Regression
A collection of functions to simulate, estimate and forecast a wide range of regression based dynamic models for positive time series. This package implements the results presented in Prass, T.S.; Pumi, G.; Taufemback, C.G. and Carlos, J.H. (2025). "Positive time series regression models: theoretical and computational aspects". Computational Statistics 40, 1185–1215. <doi:10.1007/s00180-024-01531-z>.
Getting started
Browse package contents
Package details |
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| Author | Taiane Schaedler Prass [aut, cre, com] (ORCID: <https://orcid.org/0000-0003-3136-909X>), Jonas Hendler Carlos [aut], Cleiton Guollo Taufemback [aut] |
| Maintainer | Taiane Schaedler Prass <taianeprass@gmail.com> |
| License | GPL (>= 3) |
| Version | 0.1.3 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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