R Observatory: Metrics for sphereML version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sphereML

0.1.1

Analyzing Students' Performance Dataset in Physics Education Research (SPHERE) using Machine Learning (ML)

0packages depend

1.8Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Purwoko Haryadi SantosoFirst published 2025-02-062 releasesCRAN page ↗GitHub ↗

A simple package facilitating ML based analysis for physics education research (PER) purposes. The implemented machine learning technique is random forest optimized by item response theory (IRT) for feature selection and genetic algorithm (GA) for hyperparameter tuning. The data analyzed here has been made available in the CRAN repository through the 'spheredata' package. The SPHERE stands for Students' Performance in Physics Education Research (PER). The students are the eleventh graders learning physics at the high school curriculum. We follow the stream of multidimensional students' assessment as probed by some research based assessments in PER. The goal is to predict the students' performance at the end of the learning process. Three learning domains are measured including conceptual understanding, scientific ability, and scientific attitude. Furthermore, demographic backgrounds and potential variables predicting students' performance on physics are also demonstrated.

Install

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

install.packages("sphereML", 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("santosoph/sphereML")

Development version from santosoph/sphereML. 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-sphereml

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

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-sphereML

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-sphereML

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.3 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

15

Dependencies · direct

Check history

OK2026-08-04
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
12 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
OK2026-04-25
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Show 1 earlier snapshots

ERROR2026-03-10
13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: not tracked
Return-value docs: 100%
References docs: 0%

Downloads

1.8K

CRAN downloads in the past year

Rank #18,368 · ~5/day · ~148/mo

Releases R versions

Daily download trend is not available in this view yet.

17530 days

59290 days

1.8K1 year

Compare downloads with other packages →

Also on98 r2u11 autocran

Repository

GitHub ↗ santosoph/sphereml

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2024-11-20

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/santosoph/sphereml on 2026-08-16.

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

15 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.50

Imports (15)

shiny shinydashboard spheredata lavaan semPlot CTT mirt shinycssloaders FSelectorRcpp randomForest caret caTools pROC GA readxl

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (3)

Maintainer (1)

Purwoko Haryadi Santoso

Author, Maintainer

Authors (1)

Purwoko Haryadi Santoso

Author, Maintainer

Contributors (2)

Haryanto Haryanto

Contributor

Edi Istiyono

Contributor

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
0.1.1Latest
2025-05-09 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.1.0
2025-02-06
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-02-06
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.50
Download size: 180 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sphereML")

Format

Santoso, P. H., Haryanto, H., & Istiyono, E. (2025). sphereML: Analyzing Students' Performance Dataset in Physics Education Research (SPHERE) using Machine Learning (ML) (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.sphereML

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 sphereML version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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