Package: PTSR
Type: Package
Date: 2025-05-16
Title: Positive Time Series Regression
Version: 0.1.3
Authors@R: c(person("Taiane Schaedler","Prass",
                     email = "taianeprass@gmail.com", 
                     role = c("aut","cre","com"),  
                     comment = c(ORCID="0000-0003-3136-909X")),
              person("Jonas Hendler","Carlos", 
                     email = "jonashendler@gmail.com",	
                     role = c("aut")),
              person("Cleiton Guollo","Taufemback", 
                     email = "taufemback.cg@gmail.com",	
                     role = c("aut")))
Depends: R (>= 4.0.0)
Imports: extraDistr, SuppDists, actuar, numDeriv
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.3.2
Packaged: 2026-10-11 15:17:20 UTC; root
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>
Repository: https://tsprass.r-universe.dev
Date/Publication: 2025-05-17 20:33:12 UTC
RemoteUrl: https://github.com/cran/PTSR
RemoteRef: HEAD
RemoteSha: 699f91811d3bd62bf4686c3eda2097d3a9a6eef2