R Observatory: Metrics for regressoR version 4.0.8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

regressoR

4.0.8Package record

Regression Data Analysis System

0packages depend

6.7Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Oldemar RodriguezCRAN page ↗GitHub ↗Website ↗Issues ↗

Perform a supervised data analysis on a database through a 'shiny' graphical interface. It includes methods such as linear regression, penalized regression, k-nearest neighbors, decision trees, ada boosting, extreme gradient boosting, random forest, neural networks, deep learning and support vector machines.

Install

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

install.packages("regressoR", 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("PROMiDAT/predictoR")

Development version from PROMiDAT/predictoR. 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-regressor

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-regressoR

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-regressoR

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: 3.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK13 OK2026-05-02

Show 2 earlier changesHide 2 earlier changes

ERROR11 OK, 1 ERROR2026-04-25
OK13 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 4.0.8

READMENoVignettesNoNEWSYes · 67% structured · does not mention 4.0.8Citation fileNoWebsiteYes

Help pages: 18 (1 internal)includes a package overview page
Examples that run: 100%12 run in a plain check
Exported functions with examples: 75%
Documented parameters: 100%
Return-value docs: 69%
Help pages citing references: 0%

How these are measured

Downloads

6.7K

CRAN downloads in the past year

Rank #6,864 · ~18/day · ~556/mo

Releases R versions

Daily download trend is not available in this view yet.

44830 days

1.3K90 days

6.7K1 year

Compare downloads with other packages →

Also on103 r2u6 autocran

How downloads are counted

Repository

promidat/predictor ↗Organization: PROMiDAT

1Stars

0Forks

1Open issues

0Open PRs

0Releases

181Commits

9Commit identities

181 commits · Last activity 2023-11-28 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2020-08-18 · 12026-07-07 · 1

How these are measured

PracticesBeta

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

Checks run against github.com/promidat/predictor on 2026-10-21.

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Installing regressoR adds 147 packages (67 with compiled code, 120 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)

R >= 4.1

Imports (19)

DT gbm pls dplyr (>= 1.1.0)psych shiny golem rlang glmnet loadeR shinyjs traineR shinyAce echarts4r htmltools rpart.plot shinydashboard shinycustomloader shinydashboardPlus

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (7)

Oldemar Rodriguez

Author, Maintainer · added in 3.0.0

Ariel Arroyo S.

Contributor, prg · added in 1.2.1

Diego Jimenez A.

Contributor, prg

Jennifer Lobo V.

Contributor, prg · added in 4.0.7

Andres Navarro D.

Contributor, prg

Joseline Quiros M.

Contributor, prg · added in 3.0.0

Alejandro Vargas V.

Contributor, prg · added in 4.0.7

Maintainer since 1.1.7 (2019)

Listed in earlier versions (1)

Oldemar Rodriguez R.

no longer listed · 1.1.7 to 2.0.1

Releases (12)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
unarchivedReturned to CRAN
2026-03-04
4.0.8Latest
record
2026-03-04 · current release · diff ↗
archivedRemoved from CRAN
2026-02-04
email to the maintainer is undeliverable
4.0.7
record
2025-12-22 · diff ↗
unarchivedReturned to CRAN
2025-05-28
4.0.4
record
2025-05-28 · diff ↗
archivedRemoved from CRAN
2025-05-15
requires archived package 'traineR'
R
R 4.5.0 released · 2025-04-11
4.0.3
record
2024-11-15 · diff ↗ ·
removed 21 exports
boosting_importance_plot, calibrate_boosting, coef_lambda, datos.disyuntivos, disp_models, dt_plot, e_coeff_landa, general_indices, importance_plot_rf, nn_plot, pairs_power, plot_RMSE, plot_pred_rd, plot_var_pred_rd, rd_model, rd_prediction, rd_type, rl_coeff, rlr_model, rlr_prediction, rlr_type

added 8 exports
e.rdim.rmse, e.rdim.vare, e_boost_evol_error, e_boost_importance, e_coeff_lambda, e_rf_error, e_rndf_importance, general.indices
R
R 4.4.0 released · 2024-04-24
3.0.2
record
2023-06-29 · diff ↗
R
R 4.3.0 released · 2023-04-21
3.0.0
record
2023-04-04 · diff ↗ ·
removed 20 exports
boosting_model, boosting_prediction, dfnormal, dt_model, dt_prediction, e_cor, e_histboxplot, e_histnormal, e_qq, kkn_model, kkn_prediction, nn_model, nn_prediction, rf_model, rf_prediction, rl_model, rl_prediction, svm_model, svm_prediction, translate
R
R 4.2.0 released · 2022-04-22
2.0.1
record
2021-10-13 · diff ↗

Show 8 earlier eventsHide 8 earlier events

2.0.0
record
2021-09-23 · diff ↗ ·
removed 45 exports
init_regressor, gg_color_hue, combine_names, colnames_empty, var_numerical, var_categorical, disjunctive_data, error_plot, render_index_table, error_variables, tb_predic, render_table_data, models_mode, comparative_table, validate_pn_data, new_col, get_env_report, clean_report, get_report, new_report, insert_report, remove_report_elem, new_section_report, word_report, code_load, code_NA, code_transf, code_deactivate, partition_code, code_summary and 15 more

added 10 exports
datos.disyuntivos, dfnormal, e_JS, e_coeff_landa, e_cor, e_histboxplot, e_histnormal, e_posib_lambda, e_qq, run_app
R
R 4.1.0 released · 2021-05-18
1.2.1
record
2021-04-06 · diff ↗
1.1.9
record
2020-07-01 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.1.8
record
2019-09-19 · diff ↗
1.1.7
record
2019-06-11
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-06-11
Total releases: 12 / 7 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.1
Download size: 492 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("regressoR")

Format

Rodriguez, O., Arroyo S., A., Jimenez A., D., Lobo V., J., Navarro D., A., Quiros M., J., & Vargas V., A. (2026). regressoR: Regression Data Analysis System (Version 4.0.8) [Computer software]. https://doi.org/10.32614/CRAN.package.regressoR

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 regressoR version 4.0.8 [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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