R Observatory: Metrics for qshap version 2.0.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

qshap

2.0.0Package record

Fast Calculation of Feature Contributions in Boosting Trees

0packages depend

2.2Kdownloads / year

40.3%test coverage

12/13flavors OK

Overview

About

Maintained by Zhongli JiangCRAN page ↗GitHub ↗Issues ↗

Computes feature-specific R-squared (R2) contributions for boosting tree models using a Shapley-value-based decomposition of the total R-squared in polynomial time. Supports models fitted with 'XGBoost', 'LightGBM', and 'CatBoost', with optimized backend-specific implementations and cached tree summaries suitable for large-scale problems. Multiple visualization tools are included for interpreting and communicating feature contributions. The methodology is described in Jiang, Zhang, and Zhang (2025) doi:10.48550/arXiv.2407.03515. Optional 'CatBoost' support uses the R package 'catboost', which is not distributed on CRAN; installation instructions and released binaries are provided by the CatBoost project at https://catboost.ai/docs/en/concepts/r-installation.

Install

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

install.packages("qshap", 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("catstats/Q-SHAP_R")

Development version from catstats/Q-SHAP_R. 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-qshap

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-qshap

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-qshap

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

1WARNING12OK

Check messages

WARNINGloading without being on the library search pathr-devel-windows-x86_64

Error: package or namespace load failed for 'qshap' in library.dynam(lib, package, package.lib):
 DLL 'Matrix' not found: maybe not installed for this architecture?
In addition: Warning messages:
1: In loadNamespace(j <- i[[1L]], c(lib.loc, .libPaths()), versionCheck = vI[[j]]) :
  package 'Matrix' has no 'package.rds' in Meta/
2: S3 methods 'as.matrix.Matrix', 'as.matrix.sparseVector', 'as.array.Matrix', 'as.array.sparseVector', 'c.sparseVector', 'c.abIndex', 'print.diagSummary', 'print.sparseSummary' were declared in NAMESPACE but not found 
Execution halted

It looks like this package has a loading problem when not on .libPaths:
see the messages for details.

CRAN check page ↗

Slowest check: 4.8 min · r-devel-windows-x86_64

Status changes

WARNING12 OK, 1 WARNING2026-10-20
OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18

Show 1 earlier changeHide 1 earlier change

OK5 OK2026-03-17

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.0

README· In the repository, left out of the releaseVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 32 (16 internal)includes a package overview page
Examples that run: 100%7 run in a plain check
Exported functions with examples: 57%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 3%

How these are measured

Downloads

2.2K

CRAN downloads in the past year

Rank #19,031 · ~6/day · ~187/mo

Releases R versions

Daily download trend is not available in this view yet.

19230 days

69490 days

2.2K1 year

Compare downloads with other packages →

Also on217 r2u2 autocran

How downloads are counted

Repository

catstats/q-shap_r ↗Account: catstats

2Stars

0Forks

0Open issues

0Open PRs

0Releases

189Commits

3Commit identities

189 commits · Last activity 2026-08-23 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 90%
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

2026-04-10 · 12026-07-07 · 2

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/catstats/q-shap_r on 2026-10-22.

Continuous integration (1)

GitHub Actions

Lint, format, editor (1)

RStudio project

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

AI coding toolsBeta

This repository shows signs of AI coding tools.

GitHub Copilotfirst seen 2026-01-27
Pull request: opened by its own account
Commits: 50 by its own account
Claude Codefirst seen 2026-03-25
Pull request it wrote: opened by a project member
Commits: at least 4 crediting it in the message

Models named in its commits

Claude Opus 4.64 commits · Mar to May 2026

Counts are commits, not lines of code. Commits by a tool's accounts count once across all of its accounts. Commits crediting it are the largest count among its credit lines, a minimum.How this is detected·Detection ruleset v4 (updated 2026-09-27)

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Installing qshap adds 28 packages (13 with compiled code, 27 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, Rcpp 1.8 MB.

Depends (0)

none

Imports (10)

Rcpp xgboostparallellightgbm viridisLite ggplot2 scales jsonlitemethodsprogress

LinkingTo (2)

Rcpp RcppEigen

Suggests (1)

shiny

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Zhongli Jiang

Author, Maintainer since 1.0 (2026)

Steven He

Author

Dabao Zhang

Author

Releases (3)

Pick two releases to compare their code metrics.

2.0.0Latest
record
2026-08-23 · current release · diff ↗ ·
added 2 exports
get_tree, plot_loss_heatmap
1.0.1
record
2026-05-04 · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0
record
2026-03-16
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-16
Total releases: 3 / 1 yrs
License: GPL (>= 2) OSI
Download size: 68 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("qshap")

Format

Jiang, Z., He, S., & Zhang, D. (2026). qshap: Fast Calculation of Feature Contributions in Boosting Trees (Version 2.0.0) [Computer software]. https://doi.org/10.32614/CRAN.package.qshap

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 qshap version 2.0.0 [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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