Package: PTSR 0.1.3

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>.

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

PTSR_0.1.3.tar.gz
PTSR_0.1.3.zip(r-4.7-any)PTSR_0.1.3.zip(r-4.6-any)PTSR_0.1.3.zip(r-4.5-any)
PTSR_0.1.3.tgz(r-4.6-any)PTSR_0.1.3.tgz(r-4.5-any)
PTSR_0.1.3.tar.gz(r-4.7-any)PTSR_0.1.3.tar.gz(r-4.6-any)
PTSR_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
PTSR/json (API)

# 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 377 downloads 19 exports 7 dependencies

Last updated from:699f91811d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK100
source / vignettesOK140
linux-releaseOK96
macos-releaseOK97
macos-oldrelOK107
windows-develOK78
windows-releaseOK65
windows-oldrelOK82
wasm-releaseOK81

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

Dependencies:actuarexpintextraDistrnumDerivRcppRcppArmadilloSuppDists

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
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