R Observatory: Metrics for ameras version 0.5.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ameras

0.5.2Package record

Analyze Multiple Exposure Realizations in Association Studies

0packages depend

3.1Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Sander RobertiCRAN page ↗GitHub ↗Website ↗Issues ↗Declared funder: NCI

Analyze association studies with multiple realizations of a noisy or uncertain exposure. These can be obtained from e.g. a two-dimensional Monte Carlo dosimetry system (Simon et al 2015 doi:10.1667/RR13729.1) to characterize exposure uncertainty. The implemented methods are regression calibration (Carroll et al. 2006 doi:10.1201/9781420010138), extended regression calibration (Little et al. 2023 doi:10.1038/s41598-023-42283-y), Monte Carlo maximum likelihood (Stayner et al. 2007 doi:10.1667/RR0677.1), frequentist model averaging (Kwon et al. 2023 doi:10.1371/journal.pone.0290498), and Bayesian model averaging (Kwon et al. 2016 doi:10.1002/sim.6635). Supported model families are Gaussian, binomial, multinomial, Poisson, proportional hazards, and conditional logistic.

Changes in 0.5.2

Bug fixes

Fixed a BMA error when fitting models with a single formula-based effect modifier.
Fixed numerical failures that could occur while fitting subgroup-coded effect modifiers, despite valid transformed subgroup effects.
FMA now honors the optimizer selected through optim.method.

Changes

Newly fitted method results no longer contain the redundant runtime field. Fitting, confidence interval, and total computation times remain available through timing. Fitted objects from earlier versions that contain only runtime remain supported.

From NEWS.md in the release

Install

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

install.packages("ameras", 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("sanderroberti/ameras")

Development version from sanderroberti/ameras. 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-ameras

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-ameras

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-ameras

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: 7.3 min · r-release-macos-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE11 OK, 2 NOTE2026-04-22
ERROR10 OK, 2 NOTE, 1 ERROR2026-04-18
NOTE5 OK, 2 NOTE2026-03-30

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.5.2

READMEYes · 285 wordsVignettesYes · 8 · evaluation depends on the environmentNEWSYes · 100% structured · mentions 0.5.2Citation fileNoWebsiteYes · pkgdown

Help pages: 19includes a package overview page
Examples that run: 50%9 run in a plain check · 9 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 87%
Return-value docs: 91%
Help pages citing references: 16%

Vignettes (8)

How these are measured

Downloads

3.1K

CRAN downloads in the past year

Rank #8,359 · ~8/day · ~256/mo

Releases R versions

Daily download trend is not available in this view yet.

38630 days

1.1K90 days

3.1K1 year

Compare downloads with other packages →

Also on273 r2u27 autocran

How downloads are counted

Repository

sanderroberti/ameras ↗Account: sanderroberti

0Stars

0Forks

0Open issues

0Open PRs

6Releases

217Commits

3Commit identities

217 commits · Last activity 2026-07-28 · Default branch at 0.5.2.9000, ahead of CRAN 0.5.2 (checked 2026-10-18)

Responsiveness

not measured

Releases over time

2026-04-02 · 12026-07-29 · 6

How these are measured

PracticesBeta

9 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/sanderroberti/ameras 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 2026-07-28 · The repository has a site deploy workflow

pkgdown site last built 2026-07-28

Coverage (1)

Coverage reporting

CRAN release process (2)

cran-comments.mdrevdep/

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

Dependencies

Declared dependencies

21 external dependencies (excludes base and recommended)

Installing ameras adds 67 packages (32 with compiled code, 63 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, igraph 4.8 MB.

Depends (3)

R >= 4.1.0statsnimble

Imports (11)

Rcpp RcppEigen coda numDeriv mvtnormmethodsMCMCvis tidyselect lifecyclegraphicsgrDevices

LinkingTo (2)

Rcpp RcppEigen

Suggests (10)

knitr rmarkdown testthat future future.apply ggplot2 dplyr tidyr scales patchwork

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 (5)

Sander Roberti

Author, Maintainer since 0.1.1 (2026)

Author

Author

Contributor

Copyright holder, Funder

Releases (6)

Pick two releases to compare their code metrics.

0.5.2Latest
record
2026-07-28 · current release · diff ↗
0.5.1
record
2026-07-16 · diff ↗ ·
added 2 exports
dose_lrt, convergence
0.4.0
record
2026-05-29 · diff ↗ ·
added 3 exports
Rhat, included_realizations, summary_table
0.3.0
record
2026-05-07 · diff ↗
R
R 4.6.0 released · 2026-04-24
0.2.0
record
2026-03-29 · diff ↗ ·
added 1 export
ecdfplot
0.1.1
record
2026-03-29
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2026-03-29
Total releases: 6 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 263 KB / 1 file
Download size: 1.3 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ameras")

Format

Roberti, S., NCI, Kwon, D., Pfeiffer, R., & Wheeler, W. (2026). ameras: Analyze Multiple Exposure Realizations in Association Studies (Version 0.5.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ameras

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 ameras version 0.5.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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