arima2
3.4.3Likelihood Based Inference for ARIMA Modeling
Overview
Estimating and analyzing auto regressive integrated moving average (ARIMA) models. The primary function in this package is arima(), which fits an ARIMA model to univariate time series data using a random restart algorithm. This approach frequently leads to models that have model likelihood greater than or equal to that of the likelihood obtained by fitting the same model using the arima() function from the 'stats' package. This package enables proper optimization of model likelihoods, which is a necessary condition for performing likelihood ratio tests. This package relies heavily on the source code of the arima() function of the 'stats' package. For more information, please see Jesse Wheeler and Edward L. Ionides (2025) <doi:10.1371/journal.pone.0333993>.
Install
Health
- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Dependencies
Nothing depends on this yet.
Code & Tests
Test coverage
Line coverage
55%
Expression
54.4%
Tests / Examples
54.7% / 51% ex
Functions
32 4 exported
Complexity
18.9 avg / 148 max
Call network
32 nodes / 30 edges
Call graph
Open call graph →Lowest coverage
32 functions| Function | Cyclo | Coverage |
|---|---|---|
| aicTable exp | 5 | 0% |
| .checkTable | 10 | 0% |
| plot.Arima2 | 22 | 0% |
| profile.Arima2 | 12 | 0% |
| sample_ARMA_coef exp | 17 | 65% |
| ARMApolyroots exp | 7 | 71% |
People & History
6 releases. Pick two to compare their code metrics. R releases are shown for context.
Package metadata
- First published
- 2023-10-05
- Total releases
- 6 / 3 yrs
- License
- GPL (>= 3) OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet