R Observatory: Metrics for sufficientForecasting version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sufficientForecasting

0.1.0Package record

Sufficient Forecasting using Factor Models

0packages depend

2.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jing FuCRAN page ↗GitHub ↗Issues ↗

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.

Changes in 0.1.0

Added a NEWS.md file to track changes to the package.

From NEWS.md in the release

Install

R (CRAN)pak (dev)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("sufficientForecasting", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("JingFu1224/sufficientForecasting")

Development version from JingFu1224/sufficientForecasting. Installs pak first if it is not already available.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-sufficientforecasting

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-sufficientForecasting

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-sufficientForecasting

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 1.2 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-10-25
ERROR12 OK, 1 ERROR2026-10-24
OK13 OK2026-08-04
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMEYes · 82 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 8 (1 internal)includes a package overview page
Examples that run: 100%5 run in a plain check
Exported functions with examples: 83%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 63%

Vignettes (1)

SF_vignette HTML

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #16,857 · ~8/day · ~244/mo

Releases R versions

Daily download trend is not available in this view yet.

27230 days

75590 days

2.9K1 year

Compare downloads with other packages →

Also on102 r2u4 autocran31 c2d4u

How downloads are counted

Repository

jingfu1224/sufficientforecasting ↗Account: JingFu1224

4Stars

1Forks

0Open issues

0Open PRs

0Releases

7Commits

2Commit identities

License file reads as GPL-3.0 · 7 commits · Last activity 2023-02-17 · 0% stars, 30d

Responsiveness

not measured

Stars over time

2024-04-24 · 42026-07-07 · 4

How these are measured

PracticesBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/jingfu1224/sufficientforecasting on 2026-10-21.

Docs source (1)

README.Rmd

Reproducibility and dev environment (1)

data-raw/

CRAN release process (2)

cran-comments.mdCRAN-SUBMISSION

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing sufficientForecasting adds 3 packages (1 with compiled code, 579 KB of source tarballs). Heaviest: iterators 293 KB, gam 198 KB, foreach 88 KB.

Depends (1)

R >= 2.10

Imports (2)

gamstats

LinkingTo (0)

none

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (6)

Jing Fu

Author, Maintainer since 0.1.0 (2023)

Author

Author

Author

Author

Author

Releases (1)

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
0.1.0Latest
record
2023-02-17 · current release
R
R 4.2.0 released · 2022-04-22

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

Appears in task views

Time Series Analysis

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sufficientForecasting")

Format

Fu, J., Fan, J., Luo, W., Xue, L., Yao, J., & Yu, X. (2023). sufficientForecasting: Sufficient Forecasting using Factor Models (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.sufficientForecasting

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sufficientForecasting version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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