R Observatory: Metrics for NeuralSens version 1.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

NeuralSens

1.1.3Package record

Sensitivity Analysis of Neural Networks

0packages depend

3.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Jaime Pizarroso GonzaloCRAN page ↗GitHub ↗Issues ↗

Analysis functions to quantify inputs importance in neural network models. Functions are available for calculating and plotting the inputs importance and obtaining the activation function of each neuron layer and its derivatives. The importance of a given input is defined as the distribution of the derivatives of the output with respect to that input in each training data point doi:10.18637/jss.v102.i07.

Install

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

install.packages("NeuralSens", 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("JaiPizGon/NeuralSens")

Development version from JaiPizGon/NeuralSens. 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-neuralsens

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-NeuralSens

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-NeuralSens

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: 2.4 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
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 1.1.3

READMENoVignettesNoNEWSNoCitation fileYes · cites a publication

Cites a JSS article

Help pages: 43includes a package overview page
Examples that run: 88%30 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 81%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 40%

How these are measured

Downloads

3.3K

CRAN downloads in the past year

Rank #12,002 · ~9/day · ~278/mo

Releases R versions

Daily download trend is not available in this view yet.

40730 days

90090 days

3.3K1 year

Compare downloads with other packages →

Also on68 r2u11 autocran

How downloads are counted

Repository

jaipizgon/neuralsens ↗Account: JaiPizGon

17Stars

3Forks

0Open issues

2Open PRs

0Releases

289Commits

6Commit identities

License file reads as GPL-3.0 · 289 commits · Last activity 2024-09-26 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 88%
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

2025-03-29 · 162026-07-07 · 17

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/jaipizgon/neuralsens on 2026-10-11.

Docs source (1)

GitHub Pages site last deployed 2024-09-26

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

20 external dependencies (excludes base and recommended)

Installing NeuralSens adds 107 packages (54 with compiled code, 77 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)

none

Imports (15)

ggplot2 gridExtra NeuralNetTools reshape2 caret fastDummies stringr Hmisc ggforce scales ggnewscale magrittr ggrepel ggbreak dplyr

LinkingTo (0)

none

Suggests (6)

h2o RSNNSnnetneuralnet plotly e1071

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 (3)

Jaime Pizarroso Gonzalo

Author, Contributor, Maintainer since 0.0.2 (2019)

Antonio Muñoz San Roque

Author · added in 0.0.5

José Portela González

Author

Releases (21)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
1.1.3Latest
record
2024-05-11 · current release · diff ↗
R
R 4.4.0 released · 2024-04-24
1.1.2
record
2024-02-10 · diff ↗
1.1.1
record
2024-01-12 · diff ↗ ·
added 3 exports
ChangeBootAlpha, find_critical_value, kStepMAlgorithm
1.0.3
record
2023-06-17 · diff ↗
R
R 4.3.0 released · 2023-04-21
1.0.2
record
2023-03-07 · diff ↗
unarchivedReturned to CRAN
2022-06-21
1.0.1
record
2022-06-21 · diff ↗
archivedRemoved from CRAN
2022-06-11
check issues were not corrected in time
1.0.0
record
2022-04-27 · diff ↗ ·
removed 2 exports
DerLossFunc, LossFunc

added 5 exports
AlphaSensAnalysis, AlphaSensCurve, Der3ActFunc, `diag4Darray<-`, diag4Darray
R
R 4.2.0 released · 2022-04-22
0.2.3
record
2022-01-06 · diff ↗ ·
added 5 exports
DerLossFunc, HessDotPlot, HessFeaturePlot, LossFunc, SensDotPlot
R
R 4.1.0 released · 2021-05-18

Show 17 earlier eventsHide 17 earlier events

unarchivedReturned to CRAN
2020-11-16
0.2.2
record
2020-11-16 · diff ↗
archivedRemoved from CRAN
2020-10-22
problems were not corrected in time
0.2.1
record
2020-05-15 · diff ↗ ·
added 8 exports
Der2ActFunc, HessMLP, HessToSensMLP, HessianMLP, SensMatPlot, `diag3Darray<-`, diag3Darray, is.HessMLP
R
R 4.0.0 released · 2020-04-24
0.2.0
record
2020-03-13 · diff ↗ ·
added 2 exports
SensMLP, is.SensMLP
0.1.5
record
2020-02-20 · diff ↗ ·
added 1 export
PlotSensMLP
0.1.4
record
2020-02-05 · diff ↗
0.1.3
record
2020-01-11 · diff ↗
0.1.0
record
2019-11-12 · diff ↗ ·
added 2 exports
CombineSens, SensFeaturePlot
0.0.9
record
2019-10-03 · diff ↗
0.0.8
record
2019-09-28 · diff ↗ ·
added 2 exports
SensTimePlot, SensitivityPlots
0.0.7
record
2019-09-13 · diff ↗
0.0.5
record
2019-07-11 · diff ↗
0.0.3
record
2019-06-08 · diff ↗
0.0.2
record
2019-06-04
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2019-06-04
Total releases: 21 / 7 yrs
License: GPL (>= 2) OSI
Bundled data: 88 KB / 3 files
Download size: 227 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("NeuralSens")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.18637/jss.v102.i07.

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 NeuralSens version 1.1.3 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →