R Observatory: Metrics for daltoolbox version 1.3.787

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

daltoolbox

1.3.787Package record

Leveraging Experiment Lines to Data Analytics

4packages depend

8.8Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Eduardo OgasawaraCRAN page ↗GitHub ↗Website ↗Issues ↗

The natural increase in the complexity of current research experiments and data demands better tools to enhance productivity in Data Analytics. The package is a framework designed to address the modern challenges in data analytics workflows. The package is inspired by Experiment Line concepts. It aims to provide seamless support for users in developing their data mining workflows by offering a uniform data model and method API. It enables the integration of various data mining activities, including data preprocessing, classification, regression, clustering, and time series prediction. It also offers options for hyper-parameter tuning and supports integration with existing libraries and languages. Overall, the package provides researchers with a comprehensive set of functionalities for data science, promoting ease of use, extensibility, and integration with various tools and libraries. Information on Experiment Line is based on Ogasawara et al. (2009) doi:10.1007/978-3-642-02279-1_20.

Install

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

install.packages("daltoolbox", 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("cefet-rj-dal/daltoolbox")

Development version from cefet-rj-dal/daltoolbox. 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-daltoolbox

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-daltoolbox

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-daltoolbox

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: 5.8 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-07
ERROR12 OK, 1 ERROR2026-09-04
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09

Show 4 earlier changesHide 4 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02
ERROR11 OK, 1 ERROR2026-04-25
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.787

READMEYes · 534 wordsVignettesNoNEWSNoCitation fileNoWebsiteYes · pkgdown

Help pages: 135
Examples that run: 89%112 run in a plain check (16 of them under a condition) · 1 never run · 13 hold no code
Exported functions with examples: 96%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 28%

How these are measured

Downloads

8.8K

CRAN downloads in the past year

Rank #4,975 · ~24/day · ~737/mo

Releases R versions

Daily download trend is not available in this view yet.

52930 days

1.7K90 days

8.8K1 year

Compare downloads with other packages →

Also on281 r2u14 autocran

How downloads are counted

Repository

cefet-rj-dal/daltoolbox ↗Organization: cefet-rj-dal

6Stars

1Forks

0Open issues

0Open PRs

0Releases

274Commits

4Commit identities

274 commits · Last activity 2026-10-06 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 80%
Median days to close, 50 most recently updated closed issues: 35
Median days to close, 50 most recently updated closed PRs: 3

Stars over time

2025-04-24 · 42026-07-07 · 6

How these are measured

PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/cefet-rj-dal/daltoolbox on 2026-10-21.

Continuous integration (1)

GitHub Actions

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2026-10-06 · The repository has a site deploy workflow

pkgdown site last built 2025-04-23, before release 1.3.787 (2026-09-02)

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Installing daltoolbox adds 71 packages (41 with compiled code, 57 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.1.0

Imports (16)

methodsFNN caret arules arulesSequencesclassclusterdbscan dplyr e1071 ggplot2 mclustnnetrandomForest reshape tree

LinkingTo (0)

none

Suggests (10)

adabag glmnet leaps ipred xgboost arulesViz GGally igraphrpartMASS

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

4direct

0indirect

Imports 4

Depends, Imports or LinkingTo, most downloaded first

tspredit harbinger daltoolboxdp heimdall

How these are counted

Code & Tests

Datasets

People & History

People (15)

Eduardo Ogasawara

Author, Thesis advisor, Maintainer since 1.0.77 (2023)

Antonio Castro

Author

Janio Lima

Author · added in 1.1.727

Ana Carolina Sa

Author · added in 1.3.767

Vinicius Saidy

Author · added in 1.2.737

Diego Salles

Author · added in 1.1.747

Rebecca Salles

Author · added in 1.2.737

Caio Santos

Author · added in 1.2.737

Lucas Tavares

Author · added in 1.1.727

Contributor

Contributor

Contributor

Contributor · added in 1.2.737

Fabio Porto

Contributor · added in 1.2.737

CEFET/RJ

Copyright holder · added in 1.2.707

Listed in earlier versions (6)

Show 6 peopleHide 6 people

Federal Center for Technological Education of Rio de Janeiro (CEFET/RJ)

no longer listed · 1.0.77 to 1.1.747

Heraldo Borges

no longer listed · 1.0.77 to 1.1.727

Cristiane Gea

no longer listed · 1.0.77 to 1.0.707

Joel Santos

no longer listed · 1.0.77 to 1.1.727

Ana Carolina Sá

no longer listed · 1.2.737 to 1.3.717

Ana Carolina SÃƒÂ¡

no longer listed · 1.3.727 to 1.3.747

Releases (21)

Pick two releases to compare their code metrics.

1.3.787Latest
record
2026-09-02 · current release · diff ↗
1.3.777
record
2026-07-09 · diff ↗ ·
added 9 exports
pat_confidence_threshold, pat_dara, pat_dara_rules, pat_filter_rules, pat_rule_filter_dara, pat_rule_filter_interest, pat_rule_filter_none, pat_rules_tidy, pat_support_threshold
1.3.767
record
2026-07-09 · diff ↗ ·
added 1 export
predictor_prepare_fit
1.3.747
record
2026-05-14 · diff ↗ ·
removed 1 export
sample_cluster

added 6 exports
cluutils, imputation_predictive, imputation_tree, patutils, sample_groups, smoothing_quantization
R
R 4.6.0 released · 2026-04-24
1.3.727
record
2026-03-12 · diff ↗ ·
added 7 exports
bal_oversampling, bal_subsampling, feature_selection_fss, feature_selection_info_gain, feature_selection_lasso, feature_selection_relief, feature_selection_stepwise
1.3.717
record
2026-02-10 · diff ↗ ·
added 32 exports
aggregation, cla_bagging, cla_boosting, cla_glm, cla_glmnet, cla_multinom, cla_rpart, cla_xgboost, cluster_cmeans, cluster_gmm, cluster_hclust, cluster_louvain_graph, discover, feature_generation, feature_selection_corr, hierarchy_cut, imputation_simple, na_removal, pat_apriori, pat_cspade, pat_eclat, pattern_miner, plot_correlation, plot_dendrogram, plot_pair, plot_pair_adv, plot_parallel, plot_pixel, reg_lm, sample_balance and 2 more
1.2.747
record
2025-10-27 · diff ↗
1.2.737
record
2025-08-20 · diff ↗
1.2.727
record
2025-06-28 · diff ↗ ·
removed 13 exports
MSE.ts, R2.ts, adjust_ts_data, do_fit, do_predict, sMAPE.ts, ts_arima, ts_data, ts_head, ts_projection, ts_reg, ts_regsw, ts_sample
1.2.717
record
2025-06-22 · diff ↗
1.2.707
record
2025-05-13 · diff ↗ ·
removed 27 exports
autoenc_adv_e, autoenc_adv_ed, autoenc_conv_e, autoenc_conv_ed, autoenc_denoise_ed, autoenc_e, autoenc_ed, autoenc_lstm_e, autoenc_lstm_ed, autoenc_stacked_e, autoenc_stacked_ed, autoenc_variational_e, autoenc_variational_ed, outliers, ts_conv1d, ts_elm, ts_knn, ts_lstm, ts_mlp, ts_norm_an, ts_norm_diff, ts_norm_ean, ts_norm_gminmax, ts_norm_swminmax, ts_rf, ts_svm, ts_tune

added 4 exports
autoenc_base_e, autoenc_base_ed, outliers_boxplot, outliers_gaussian
1.1.747
record
2025-04-28 · diff ↗
1.1.737
record
2025-04-21 · diff ↗ ·
removed 16 exports
aae_encode, aae_encode_decode, autoenc_encode, autoenc_encode_decode, cae2d_encode_decode, cae2den_encode, cae2den_encode_decode, cae_encode, cae_encode_decode, dns_encode_decode, lae_encode, lae_encode_decode, sae_encode, sae_encode_decode, varae_encode, varae_encode_decode

added 13 exports
autoenc_adv_e, autoenc_adv_ed, autoenc_conv_e, autoenc_conv_ed, autoenc_denoise_ed, autoenc_e, autoenc_ed, autoenc_lstm_e, autoenc_lstm_ed, autoenc_stacked_e, autoenc_stacked_ed, autoenc_variational_e, autoenc_variational_ed
R
R 4.5.0 released · 2025-04-11
1.1.727
record
2024-11-25 · diff ↗ ·
added 14 exports
aae_encode, aae_encode_decode, cae2d_encode_decode, cae2den_encode, cae2den_encode_decode, cae_encode, cae_encode_decode, dns_encode_decode, lae_encode, lae_encode_decode, sae_encode, sae_encode_decode, varae_encode, varae_encode_decode

Show 9 earlier eventsHide 9 earlier events

1.0.787
record
2024-11-03 · diff ↗
R
R 4.4.0 released · 2024-04-24
1.0.767
record
2024-04-01 · diff ↗ ·
added 1 export
R2.ts
1.0.747
record
2024-03-25 · diff ↗
1.0.727
record
2023-10-25 · diff ↗ ·
added 2 exports
autoenc_encode, autoenc_encode_decode
1.0.717
record
2023-07-22 · diff ↗
1.0.707
record
2023-07-18 · diff ↗ ·
removed 9 exports
ts_aug_awareness, ts_aug_flip, ts_aug_jitter, ts_aug_shrink, ts_aug_stretch, ts_aug_wormhole, ts_fil_ema, ts_fil_ma, ts_fil_smooth

added 3 exports
ts_conv1d, ts_knn, ts_lstm
1.0.77
record
2023-06-30
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-06-30
Total releases: 21 / 3 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 15 KB / 1 file
Download size: 195 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("daltoolbox")

Format

Ogasawara, E., CEFET/RJ, Bezerra, E., Carvalho, D., Castro, A., Coutinho, R., Lima, J., Pacitti, E., Porto, F., Sa, A. C., Saidy, V., Salles, D., Salles, R., Santos, C., & Tavares, L. (2026). daltoolbox: Leveraging Experiment Lines to Data Analytics (Version 1.3.787) [Computer software]. https://doi.org/10.32614/CRAN.package.daltoolbox

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 daltoolbox version 1.3.787 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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