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sufficientForecasting

0.1.0

Sufficient Forecasting using Factor Models

0packages depend
2.9Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jing FuFirst published 2023-02-171 releasesCRAN page ↗GitHub ↗

The sufficient forecasting (SF) method is implemented by this package for a single time series forecasting using many predictors and a possibly nonlinear forecasting function. Assuming that the predictors are driven by some latent factors, the SF first conducts factor analysis and then performs sufficient dimension reduction on the estimated factors to derive predictive indices for forecasting. The package implements several dimension reduction approaches, including principal components (PC), sliced inverse regression (SIR), and directional regression (DR). Methods for dimension reduction are as described in: Fan, J., Xue, L. and Yao, J. (2017) doi:10.1016/j.jeconom.2017.08.009, Luo, W., Xue, L., Yao, J. and Yu, X. (2022) doi:10.1093/biomet/asab037 and Yu, X., Yao, J. and Xue, L. (2022) doi:10.1080/07350015.2020.1813589.

Install

Health

CRAN checks
13OK
Slowest check: 1.4 min · r-devel-linux-x86_64-fedora-gcc
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
Yes
Vignettes
Yes
README
2
Dependencies · direct
Check history
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Repository

Repository
4Stars
2Forks
0Open issues
0Open PRs
0Releases
7Commits
2Contributors
License GPL-3.0 · 7 commits · Last activity 2023-02-17 · 0% stars, 30d

Stars over time

2024-04-24 · 42026-07-07 · 4

Dependencies

Declared dependencies
3 external dependencies (excludes base and recommended)
Depends (1)
R >= 2.10
Imports (2)
gamstats
LinkingTo (0)
none
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Code Composition
R 995 (71%)Rd 339 (24%)Vignettes 72 (5%)
Code characteristics
Cyclomatic complexity
3.0 median / 20 max
Documented parameters
100%

Test coverage

Line coverage

Expression

Tests / Examples

Functions

19 6 exported

Complexity

6.2 avg / 20 max

Call network

19 nodes / 23 edges

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Lowest coverage

Per-function coverage is not measured for this package yet.

People & History

People (6)
Maintainer (1)
Author, Maintainer
Authors (6)
Author, Maintainer
Author
Author
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2023-02-17
Total releases
1 / 3 yrs
License
GPL (>= 3) OSI
Minimum R
≥ 2.10
Bundled data
78 KB / 1 file
Download size
97 KB
Installed size
not tracked yet
With dependencies
not tracked yet