R Observatory: Metrics for SDModels version 2.0.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

SDModels

2.0.2Package record

Spectrally Deconfounded Models

0packages depend

3.2Kdownloads / year

58.1%test coverage

13/13flavors OK

Overview

About

Maintained by Markus UlmerCRAN page ↗GitHub ↗Website ↗Issues ↗

Screen for and analyze non-linear sparse direct effects in the presence of unobserved confounding using the spectral deconfounding techniques (Ćevid, Bühlmann, and Meinshausen (2020)<jmlr.org/papers/v21/19-545.html>, Guo, Ćevid, and Bühlmann (2022) doi:10.1214/21-AOS2152). These methods have been shown to be a good estimate for the true direct effect if we observe many covariates, e.g., high-dimensional settings, and we have fairly dense confounding. Even if the assumptions are violated, it seems like there is not much to lose, and the deconfounded models will, in general, estimate a function closer to the true one than classical least squares optimization. 'SDModels' provides functions SDAM() for Spectrally Deconfounded Additive Models (Scheidegger, Guo, and Bühlmann (2025) doi:10.1145/3711116) and SDForest() for Spectrally Deconfounded Random Forests (Ulmer, Scheidegger, and Bühlmann (2025) doi:10.1080/10618600.2025.2569602).

Changes in 2.0.2

Switch all the parallelization to futures. See vignette("Runtime")
Switch all the progress updates to progressr. Progress updates are now also available for parallel processing and are customizable.
Process are much more RAM efficient now.

From NEWS.md in the release

Install

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

install.packages("SDModels", 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("markusul/SDModels")

Development version from markusul/SDModels. 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-sdmodels

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-SDModels

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-SDModels

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: 2.8 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
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 2.0.2

READMEYes · 372 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 2.0.2Citation fileYes · cites a publicationWebsiteYes · pkgdown

The repository also keeps web-only articles.

Help pages: 34
Examples that run: 100%29 run in a plain check
Exported functions with examples: 89%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 26% with a bibliography file

Vignettes (1)

Runtime HTML

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #19,717 · ~9/day · ~264/mo

Releases R versions

Daily download trend is not available in this view yet.

26030 days

66490 days

3.2K1 year

Compare downloads with other packages →

Also on98 r2u4 autocran

How downloads are counted

Repository

markusul/sdmodels ↗Account: markusul

2Stars

0Forks

0Open issues

0Open PRs

0Releases

444Commits

3Commit identities

444 commits · Last activity 2025-12-12 · 0% stars, 30d

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: 11
Median days to close, 50 most recently updated closed PRs: 0

Stars over time

2025-04-28 · 22026-07-07 · 2

How these are measured

PracticesBeta

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

Checks run against github.com/markusul/sdmodels on 2026-10-18.

Continuous integration (2)

GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (4)

README.Rmdpkgdown

GitHub Pages site last deployed 2025-12-12 · The repository has a site deploy workflow

CRAN release process (2)

cran-comments.mdrevdep/

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

Dependencies

Declared dependencies

22 external dependencies (excludes base and recommended)

Installing SDModels adds 104 packages (59 with compiled code, 92 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, bslib 5.6 MB.

Depends (0)

none

Imports (13)

DiagrammeR future.apply future ggplot2 igraph ggraph gridExtra Rdpack tidyr fda grplasso rlang progressr

LinkingTo (0)

none

Suggests (11)

parallelly plotlydatasetsrpartknitr rmarkdown ranger HDclassif qpdf cli testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Markus Ulmer

Cyrill Scheidegger

Author

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
2.0.2Latest
record
2025-12-14 · current release · diff ↗
2.0.0
record
2025-12-04 · diff ↗ ·
removed 3 exports
copy, fromList, toList
1.0.13
record
2025-06-05 · diff ↗
1.0.10
record
2025-05-09 · diff ↗
R
R 4.5.0 released · 2025-04-11
1.0.7
record
2025-04-09 · diff ↗
1.0.4
record
2025-02-19
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2025-02-19
Total releases: 6 / 1 yrs
License: GPL-3 OSI
Download size: 680 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("SDModels")

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

It points to 10.1080/10618600.2025.2569602, 10.1145/3711116.

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 SDModels version 2.0.2 [Data set]. HJJB, LLC. Data release v2026-10-20. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-20, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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