Package: iAR 1.3.4

Elorrieta Felipe

iAR: Irregularly Observed Autoregressive Models

Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).

Authors:Elorrieta Felipe [aut, cre], Ojeda Cesar [aut], Eyheramendy Susana [aut], Palma Wilfredo [aut]

iAR_1.3.4.tar.gz
iAR_1.3.4.tar.gz(r-4.7-arm64)iAR_1.3.4.tar.gz(r-4.7-x86_64)iAR_1.3.4.tar.gz(r-4.6-arm64)iAR_1.3.4.tar.gz(r-4.6-x86_64)
iAR_1.3.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
iAR/json (API)

# Install 'iAR' in R:
install.packages('iAR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • agn - Active Galactic Nuclei
  • clcep - Classical Cepheid
  • cvnovag - ZTF g-band Cataclysmic Variable/Nova
  • cvnovar - ZTF r-band Cataclysmic Variable/Nova
  • dmcep - Double Mode Cepheid.
  • dscut - Delta Scuti
  • eb - Eclipsing Binaries
  • Planets - Transit of an extrasolar planet

On CRAN:

Conda:

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

openblascppopenmp

3.64 score 29 scripts 611 downloads 20 exports 23 dependencies

Last updated from:fc2d81b655. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK211
linux-devel-x86_64OK185
source / vignettesOK370
linux-release-arm64OK211
linux-release-x86_64OK204
wasm-releaseOK193

Exports:BiARCiARfitforecastgentimeharmonicfitiARinterpolationkalmanloglikmultidatapairingitsphaseplotplot_fitplot_forecastsimsummaryunidatautilities

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackrlangS7scalesvctrsviridisLitewithrzoo

Getting Started with iAR

Felipe Elorrieta, Cesar Ojeda, Susana Eyheramendy, Wilfredo Palma

Rendered fromgetting-started.Rmdusingknitr::rmarkdownon Jun 15 2026.

Last update: 2026-05-16
Started: 2026-05-16