R Observatory: Metrics for ML2Pvae version 1.0.0.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ML2Pvae

1.0.0.1

Variational Autoencoder Models for IRT Parameter Estimation

0packages depend

2.8Kdownloads / year

33.6%test coverage

11/13checks pass

Overview

About

Maintained by Geoffrey ConverseFirst published 2020-11-162 releasesCRAN page ↗

Based on the work of Curi, Converse, Hajewski, and Oliveira (2019) doi:10.1109/IJCNN.2019.8852333. This package provides easy-to-use functions which create a variational autoencoder (VAE) to be used for parameter estimation in Item Response Theory (IRT) - namely the Multidimensional Logistic 2-Parameter (ML2P) model. To use a neural network as such, nontrivial modifications to the architecture must be made, such as restricting the nonzero weights in the decoder according to some binary matrix Q. The functions in this package allow for straight-forward construction, training, and evaluation so that minimal knowledge of 'tensorflow' or 'keras' is required.

Install

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

install.packages("ML2Pvae", 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-ml2pvae

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-ML2Pvae

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-ML2Pvae

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

Health

CRAN checks

2NOTE11OK

Failing flavors

NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 1.1 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.47

33.6%

Coverage · measured lines

100%

Documentation · exports

4

Dependencies · direct

Check history

NOTE2026-06-09
11 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-06-08
10 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 93%
Return-value docs: 100%
References docs: 0%

Downloads

2.8K

CRAN downloads in the past year

Rank #16,149 · ~8/day · ~233/mo

Releases R versions

Daily download trend is not available in this view yet.

13030 days

65390 days

2.8K1 year

Compare downloads with other packages →

Also on88 r2u17 autocran

Repository

GitHub ↗ converseg/converseg.github.io

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2021-09-04

Repository practices

Upstream repositoryBeta

Checks run against github.com/converseg/converseg.github.io on 2026-08-16.

No development-tooling practices detected in the upstream repository.

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

Dependencies

Declared dependencies

8 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.6

Imports (4)

keras reticulate tensorflow tfprobability

LinkingTo (0)

none

Suggests (4)

knitr rmarkdown testthat R.rsp

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)

Maintainer (1)

Geoffrey Converse

Author, Maintainer, Copyright holder

Authors (1)

Geoffrey Converse

Author, Maintainer, Copyright holder

Contributors (2)

Mariana Curi

Contributor

Suely Oliveira

Contributor, Thesis advisor

Copyright holders (1)

Geoffrey Converse

Author, Maintainer, Copyright holder

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
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
1.0.0.1Latest
2022-05-23 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
1.0.0
2020-11-16
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2020-11-16
Total releases: 2 / 6 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 3.6
Bundled data: 40 KB / 6 files
Download size: 185 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ML2Pvae")

Format

Converse, G., Curi, M., & Oliveira, S. (2022). ML2Pvae: Variational Autoencoder Models for IRT Parameter Estimation (Version 1.0.0.1) [Computer software]. https://doi.org/10.32614/CRAN.package.ML2Pvae

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 ML2Pvae version 1.0.0.1 [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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