Package: PTSR 0.1.2

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.; Carlos, J.H.; Taufemback, C.G. and Pumi, G. (2022). "Positive Time Series Regression" <arxiv:2201.03667>.

Authors:Taiane Schaedler Prass [aut, cre, com], Jonas Hendler Carlos [aut], Cleiton Guollo Taufemback [aut]

PTSR_0.1.2.tar.gz
PTSR_0.1.2.zip(r-4.5)PTSR_0.1.2.zip(r-4.4)PTSR_0.1.2.zip(r-4.3)
PTSR_0.1.2.tgz(r-4.5-any)PTSR_0.1.2.tgz(r-4.4-any)PTSR_0.1.2.tgz(r-4.3-any)
PTSR_0.1.2.tar.gz(r-4.5-noble)PTSR_0.1.2.tar.gz(r-4.4-noble)
PTSR_0.1.2.tgz(r-4.4-emscripten)PTSR_0.1.2.tgz(r-4.3-emscripten)
PTSR.pdf |PTSR.html✨
PTSR/json (API)
NEWS

# Install 'PTSR' in R:
install.packages('PTSR', repos = c('https://tsprass.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 279 downloads 19 exports 6 dependencies

Last updated 3 years agofrom:a1ea830dc7. Checks:5 OK, 3 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 19 2025
R-4.5-winNOTEFeb 19 2025
R-4.5-macNOTEFeb 19 2025
R-4.5-linuxNOTEFeb 19 2025
R-4.4-winOKFeb 19 2025
R-4.4-macOKFeb 19 2025
R-4.3-winOKFeb 19 2025
R-4.3-macOKFeb 19 2025

Exports:d.betapd.chid.Fd.gammad.invGaussd.logLogisd.logNormd.rayptsr.fitptsr.linkptsr.simr.betapr.chir.Fr.gammar.invGaussr.logLogisr.logNormr.ray

Dependencies:actuarexpintextraDistrnumDerivRcppSuppDists

Readme and manuals

Help Manual

Help pageTopics
Reparametrized Distributionsd.betap d.chi d.F d.gamma d.invGauss d.logLogis d.logNorm d.ray ddist r.betap r.chi r.F r.gamma r.invGauss r.logLogis r.logNorm r.ray rdist
Predict method for PTSRpredict.ptsr
Print Method of class PTSRprint.ptsr
Title Function to fit a PTSR modelptsr.fit
Create a Link for PTSR modelsptsr.link
Function to simulate a PTSR modelptsr.sim
Summary Method of class PTSRprint.summary.ptsr summary summary.ptsr