R Observatory: Metrics for asm version 0.2.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

asm

0.2.4Package record

Optimal Convex M-Estimation for Linear Regression via Antitonic Score Matching

0packages depend

7.1Kdownloads / year

63.0%test coverage

13/13flavors OK

Overview

About

Maintained by Min XuCRAN page ↗

Performs linear regression with respect to a data-driven convex loss function that is chosen to minimize the asymptotic covariance of the resulting M-estimator. The convex loss function is estimated in 5 steps: (1) form an initial OLS (ordinary least squares) or LAD (least absolute deviation) estimate of the regression coefficients; (2) use the resulting residuals to obtain a kernel estimator of the error density; (3) estimate the score function of the errors by differentiating the logarithm of the kernel density estimate; (4) compute the L2 projection of the estimated score function onto the set of decreasing functions; (5) take a negative antiderivative of the projected score function estimate. Newton's method (with Hessian modification) is then used to minimize the convex empirical risk function. Further details of the method are given in Feng et al. (2024) doi:10.48550/arXiv.2403.16688.

Install

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

install.packages("asm", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

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-asm

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-asm

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-asm

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: 2.0 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-09-08
ERROR12 OK, 1 ERROR2026-09-07
OK13 OK2026-08-30
ERROR12 OK, 1 ERROR2026-08-23
OK13 OK2026-08-05

Show 4 earlier changesHide 4 earlier changes

NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-05-20
ERROR12 OK, 1 ERROR2026-05-17
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.4

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 10
Examples that run: 100%10 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

7.1K

CRAN downloads in the past year

Rank #6,496 · ~19/day · ~591/mo

Releases R versions

Daily download trend is not available in this view yet.

47830 days

1.3K90 days

7.1K1 year

Compare downloads with other packages →

Also on87 r2u19 autocran

How downloads are counted

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Installing asm adds 6 packages (4 with compiled code, 2.0 MB of source tarballs). Heaviest: quantreg 903 KB, SparseM 540 KB, pracma 389 KB.

Depends (1)

R >= 3.1

Imports (5)

fdrtool pracma IsoMASSquantreg

LinkingTo (0)

none

Suggests (1)

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 (6)

Min Xu

Author, Maintainer since 0.1.0 (2024)

Oliver Y. Feng

Author

Yang Feng

Author · added in 0.2.1

Yu-Chun Kao

Author

Richard J. Samworth

Author

Lucy Xia

Author · added in 0.2.1

Listed in earlier versions (3)

Show 3 peopleHide 3 people

Oliver Feng

no longer listed · 0.1.0

Feng

no longer listed · 0.2.0 to 0.2.4

Samworth

no longer listed · 0.2.0 to 0.2.4

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.2.4Latest
record
2025-05-28 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
0.2.3
record
2025-04-06 · diff ↗
0.2.2
record
2025-03-23 · diff ↗
0.2.1
record
2025-01-29 · diff ↗
0.2.0
record
2024-05-11 · diff ↗
0.1.0
record
2024-04-25
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-04-25
Total releases: 6 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.1
Download size: 23 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("asm")

Format

Xu, M., Feng, O. Y., Feng, Y., Kao, Y., Samworth, R. J., & Xia, L. (2025). asm: Optimal Convex M-Estimation for Linear Regression via Antitonic Score Matching (Version 0.2.4) [Computer software]. https://doi.org/10.32614/CRAN.package.asm

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 asm version 0.2.4 [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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