R Observatory: Metrics for sappviz version 1.0.16

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

sappviz

1.0.16Package record

Sector-Adjusted Points Plot for Feature Dominance

0packages depend

779downloads / year

70.3%test coverage

13/13flavors OK

Overview

About

Maintained by Mohamed Amine FARESCRAN page ↗GitHub ↗Issues ↗

Visualizes feature influence by projecting data into 2D via PCA and adjusting points toward sector centers weighted by importances. Supports linear models and optionally tree-based models via SHAP values from the 'fastshap' package. For tree-based models, please install 'fastshap' manually from the CRAN archive: https://cran.r-project.org/src/contrib/Archive/fastshap/.

Install

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

install.packages("sappviz", 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("FaresAminu/sappviz")

Development version from FaresAminu/sappviz. 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-sappviz

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-sappviz

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-sappviz

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: 2.5 min · r-oldrel-macos-x86_64

Status changes

OK13 OKNow
OK7 OK2026-08-07

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.0.16

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNo

Help pages: 4
Examples that run: 50%2 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

Vignettes (1)

Introduction to SAPP HTML

How these are measured

Downloads

779

CRAN downloads in the past year

Rank #16,086 · ~2/day · ~65/mo

Releases R versions

Daily download trend is not available in this view yet.

23630 days

77990 days

7791 year

Compare downloads with other packages →

Also on14 r2u2 autocran

How downloads are counted

Repository

faresaminu/sappviz ↗Account: FaresAminu

0Stars

0Forks

0Open issues

0Open PRs

0Releases

Last activity 2024-08-17

Responsiveness

not measured

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/faresaminu/sappviz on 2026-10-22.

Docs source (1)

GitHub Pages site last deployed 2026-08-05

Lint, format, editor (1)

RStudio project

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

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing sappviz adds 19 packages (9 with compiled code, 16 MB of source tarballs). Heaviest: ggplot2 6.0 MB, Rcpp 1.8 MB, isoband 1.5 MB.

Depends (0)

none

Imports (3)

ggplot2 ggrepelstats

LinkingTo (0)

none

Suggests (6)

testthat knitr rmarkdown randomForestMASSfastshap

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Mohamed Amine FARES

Author, Maintainer since 1.0.16 (2026)

Releases (1)

1.0.16Latest
record
2026-08-06 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-06
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Download size: 22 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sappviz")

Format

FARES, M. A. (2026). sappviz: Sector-Adjusted Points Plot for Feature Dominance (Version 1.0.16) [Computer software]. https://doi.org/10.32614/CRAN.package.sappviz

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 sappviz version 1.0.16 [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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