CRAN/E | iAR

iAR

Irregularly Observed Autoregressive Models

Installation

About

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).

github.com/felipeelorrieta

Key Metrics

Version 1.2.0
R ≥ 3.5.0
Published 2022-11-24 660 days ago
Needs compilation? yes
License GPL-2
CRAN checks iAR results

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Maintainer

Maintainer

Elorrieta Felipe

Authors

Elorrieta Felipe

aut / cre

Ojeda Cesar

aut

Eyheramendy Susana

aut

Palma Wilfredo

aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

iAR archive

Depends

R ≥ 3.5.0

Imports

Rcpp ≥ 1.0.7
ggplot2
stats
Rdpack

Suggests

arfima

LinkingTo

Rcpp
RcppArmadillo