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)PTSR_0.1.3.zip(r-4.6)PTSR_0.1.3.zip(r-4.5)
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✨
card.svg |card.png
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 614 downloads 19 exports 7 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK106
source / vignettesOK222
linux-release-x86_64OK115
macos-release-arm64OK141
macos-oldrel-arm64OK184
windows-develOK82
windows-releaseOK89
windows-oldrelOK63
wasm-releaseOK93

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