R Observatory: Metrics for SCE version 1.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SCE

1.1.4Package record

Stepwise Clustered Ensemble

0packages depend

2.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Kailong LiCRAN page ↗

Implementation of Stepwise Clustered Ensemble (SCE) and Stepwise Cluster Analysis (SCA) for multivariate data analysis. The package provides comprehensive tools for feature selection, model training, prediction, and evaluation in hydrological and environmental modeling applications. Key functionalities include recursive feature elimination (RFE), Wilks feature importance analysis, model validation through out-of-bag (OOB) validation, and ensemble prediction capabilities. The package supports both single and multivariate response variables, making it suitable for complex environmental modeling scenarios. For more details see Li et al. (2021) doi:10.5194/hess-25-4947-2021.

Install

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

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

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

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-sce

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-SCE

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-SCE

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: 1.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.1.4

READMEYes · 431 wordsVignettesNoNEWSYes · 100% structured · does not mention 1.1.4Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 11
Examples that run: 0%2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 22%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

2.7K

CRAN downloads in the past year

Rank #16,416 · ~7/day · ~228/mo

Releases R versions

Daily download trend is not available in this view yet.

27730 days

76990 days

2.7K1 year

Compare downloads with other packages →

Also on92 r2u5 autocran

How downloads are counted

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Installing SCE adds no packages beyond those that come with R.

Depends (1)

R >= 3.5.0

Imports (2)

statsutils

LinkingTo (0)

none

Suggests (3)

testthat 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 (1)

Kailong Li

Author, Maintainer since 1.0.0 (2025)

Releases (6)

Pick two releases to compare their code metrics.

1.1.4Latest
record
2026-05-11 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.1.3
record
2025-10-04 · diff ↗ ·
removed 4 exports
SCA, SCE, RFE_SCE, Plot_RFE

added 4 exports
sca, sce, rfe_sce, plot_rfe
1.1.2
record
2025-10-05 · diff ↗ ·
added 1 export
summary
1.1.1
record
2025-07-25 · diff ↗ ·
removed 8 exports
SCA_Model_evaluation, SCE_Model_evaluation, Model_simulation, SCA_tree_predict, Wilks_importance, SCA_importance, SCE_Prediction, OOB_validation

added 2 exports
print, predict
1.1.0
record
2025-07-02 · diff ↗ ·
added 3 exports
Plot_RFE, importance, evaluate
1.0.0
record
2025-06-23
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2025-06-23
Total releases: 6 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.5.0
Bundled data: 83 KB / 6 files
Download size: 115 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("SCE")

Format

Li, K. (2026). SCE: Stepwise Clustered Ensemble (Version 1.1.4) [Computer software]. https://doi.org/10.32614/CRAN.package.SCE

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 SCE version 1.1.4 [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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