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PTSR  

Positive Time Series Regression
View on CRAN: Click here


Download and install PTSR package within the R console
Install from CRAN:
install.packages("PTSR")

Install from Github:
library("remotes")
install_github("cran/PTSR")

Install by package version:
library("remotes")
install_version("PTSR", "0.1.2")



Attach the package and use:
library("PTSR")
Maintained by
Taiane Schaedler Prass
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-13
Latest Update: 2022-02-08
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.; Carlos, J.H.; Taufemback, C.G. and Pumi, G. (2022). "Positive Time Series Regression" .
How to cite:
Taiane Schaedler Prass (2022). PTSR: Positive Time Series Regression. R package version 0.1.2, https://cran.r-project.org/web/packages/PTSR
Previous versions and publish date:
0.1.0 (2022-01-13 21:22), 0.1.1 (2022-02-01 23:00)
Other packages that cited PTSR R package
View PTSR citation profile
Other R packages that PTSR depends, imports, suggests or enhances
Functions, R codes and Examples using the PTSR R package
Some associated functions: ddist . predict.ptsr . print.ptsr . ptsr.fit . ptsr.link . ptsr.sim . summary . 
Some associated R codes: distributions.R . fit.R . link.R . pred.R . sim.R .  Full PTSR package functions and examples
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