R Observatory: Metrics for EasyABC version 1.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

EasyABC

1.6Package record

Efficient Approximate Bayesian Computation Sampling Schemes

1packages depend

6.2Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Nicolas DumoulinCRAN page ↗Website ↗

Enables launching a series of simulations of a computer code from the R session, and to retrieve the simulation outputs in an appropriate format for post-processing treatments. Five sequential sampling schemes and three coupled-to-MCMC schemes are implemented.

Install

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

install.packages("EasyABC", 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-easyabc

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-EasyABC

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-EasyABC

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: 9.5 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-04-22
ERROR13 OK, 1 ERROR2026-04-18
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.6

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsiteYes

Help pages: 10 (1 internal)includes a package overview page
Examples that run: 14%1 run in a plain check · 4 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
Exported functions with examples: 78%
Documented parameters: 100%
Return-value docs: 78%
Help pages citing references: 50%

Vignettes (1)

`EasyABC`: a `R` package to perform efficient approximate Bayesian computation sampling schemes

How these are measured

Downloads

6.2K

CRAN downloads in the past year

Rank #6,338 · ~17/day · ~520/mo

Releases R versions

Daily download trend is not available in this view yet.

44830 days

1.3K90 days

6.2K1 year

Compare downloads with other packages →

Also on373 r2u5 autocran

How downloads are counted

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Installing EasyABC adds 11 packages (7 with compiled code, 13 MB of source tarballs). Heaviest: abc.data 4.6 MB, pls 4.2 MB, Rcpp 1.8 MB.

Depends (2)

R >= 2.14.0abc

Imports (7)

Rcpp pls mnormtMASSparallellhs tensorA

LinkingTo (1)

Rcpp

Suggests (2)

knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Depends, Imports or LinkingTo, most downloaded first

nlrx

How these are counted

Code & Tests

People & History

People (4)

Nicolas Dumoulin

Author, Maintainer · added in 1.5

Carlo Albert.

Author · added in 1.5

Thierry Faure

Author

Franck Jabot

Author

Maintainer since 1.0 (2012)

Listed in earlier versions (1)

Nicolas Dumoullin

no longer listed · 1.0 to 1.4

Releases (10)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.6Latest
record
2025-12-18 · current release · diff ↗ ·
added 2 exports
trait_model, trait_model_internal
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
1.5.2
record
2023-01-05 · diff ↗ ·
removed 1 export
trait_model
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
1.5
record
2015-09-02 · diff ↗ ·
added 1 export
SABC
R
R 3.2.0 released · 2015-04-16
1.4
record
2014-12-17 · diff ↗ ·
added 1 export
ABC_emulation

Show 9 earlier eventsHide 9 earlier events

R
R 3.1.0 released · 2014-04-10
1.3.1
record
2014-04-04 · diff ↗
1.3
record
2014-02-27 · diff ↗
1.2.2
record
2013-06-04 · diff ↗
R
R 3.0.0 released · 2013-04-03
1.2
record
2013-02-27 · diff ↗
1.1
record
2013-01-29 · diff ↗
1.0
record
2012-11-20
R
R 2.15.0 released · 2012-03-30

Package metadata

First published: 2012-11-20
Total releases: 10 / 14 yrs
License: GPL-3 OSI
Minimum R: ≥ 2.14.0
Download size: 544 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("EasyABC")

Format

Dumoulin, N., Albert., C., Faure, T., & Jabot, F. (2025). EasyABC: Efficient Approximate Bayesian Computation Sampling Schemes (Version 1.6) [Computer software]. https://doi.org/10.32614/CRAN.package.EasyABC

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 EasyABC version 1.6 [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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