fnets
0.1.6Factor-Adjusted Network Estimation and Forecasting for High-Dimensional Time Series
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3.5Kdownloads / year
79.2%test coverage
11/13checks pass
Overview
About
Implements methods for network estimation and forecasting of high-dimensional time series exhibiting strong serial and cross-sectional correlations under a factor-adjusted vector autoregressive model. See Barigozzi, Cho and Owens (2024+) doi:10.1080/07350015.2023.2257270 for further descriptions of FNETS methodology and Owens, Cho and Barigozzi (2024+) arXiv:2301.11675 accompanying the R package.
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Health
CRAN checks
2NOTE11OK
Failing flavors
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
Slowest check: 3.6 min · r-oldrel-windows-x86_64
Code health
Yes
Tests · ratio 0.07
79.2%
Coverage · measured lines
100%
Documentation · exports
8
Dependencies · direct
Check history
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
READMEYes · 162 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
- Examples that run
- 48%
- Documented parameters
- 85%
- Return-value docs
- 90%
- References docs
- 35%
Downloads
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Dependencies
Declared dependencies
7 external dependencies (excludes base and recommended)
Depends (1)
R >= 4.1.0
Imports (8)
lpSolveparalleldoParallelforeachMASSfieldsigraphRColorBrewer
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none
Suggests (1)
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none
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Code & Tests
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People (3)
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Authors (3)
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Package metadata
- First published
- 2023-01-26
- Total releases
- 6 / 3 yrs
- License
- GPL (>= 3) OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 380 KB / 2 files
- Download size
- 424 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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