R Observatory: Metrics for ExGaussEstim version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ExGaussEstim

0.1.2Package record

Quantile Maximization Likelihood Estimation and Bayesian Ex-Gaussian Estimation

0packages depend

2.3Kdownloads / year

0.0%test coverage

11/13flavors OK

Overview

About

Maintained by Jean DUMONCELCRAN page ↗

Presents two methods to estimate the parameters 'mu', 'sigma', and 'tau' of an ex-Gaussian distribution. Those methods are Quantile Maximization Likelihood Estimation ('QMLE') and Bayesian. The 'QMLE' method allows a choice between three different estimation algorithms for these parameters : 'neldermead' ('NEMD'), 'fminsearch' ('FMIN'), and 'nlminb' ('NLMI'). For more details about the methods you can refer at the following list: Brown, S., & Heathcote, A. (2003) doi:10.3758/BF03195527; McCormack, P. D., & Wright, N. M. (1964) doi:10.1037/h0083285; Van Zandt, T. (2000) doi:10.3758/BF03214357; El Haj, A., Slaoui, Y., Solier, C., & Perret, C. (2021) doi:10.19139/soic-2310-5070-1251; Gilks, W. R., Best, N. G., & Tan, K. K. C. (1995) doi:10.2307/2986138.

Install

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

install.packages("ExGaussEstim", 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-exgaussestim

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-ExGaussEstim

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-ExGaussEstim

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

2NOTE11OK

Check messages

NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc

Namespace in Imports field not imported from:
  ‘gamlss.dist’
All declared Imports should be used.

CRAN check page ↗

Slowest check: 1.5 min · r-oldrel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTENow
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.2

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 2
Examples that run: 50%1 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

2.3K

CRAN downloads in the past year

Rank #19,752 · ~6/day · ~195/mo

Releases R versions

Daily download trend is not available in this view yet.

27030 days

66890 days

2.3K1 year

Compare downloads with other packages →

Also on68 r2u1 autocran

How downloads are counted

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Installing ExGaussEstim adds 7 packages (4 with compiled code, 9.9 MB of source tarballs). Heaviest: invgamma 2.5 MB, fitdistrplus 2.4 MB, nloptr 2.1 MB.

Depends (0)

none

Imports (7)

pracmastatsnloptr invgamma dlm fitdistrplus gamlss.dist

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)

Jean DUMONCEL

Author, Maintainer since 0.1.1 (2023) · added in 0.1.1

Author, Contributor

Author, Contributor

Author

Author

Author · added in 0.1.1

Previously maintained by Yousri SLAOUI (0.1).

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.1.2Latest
record
2023-10-06 · current release · diff ↗
unarchivedReturned to CRAN
2023-09-25
0.1.1
record
2023-09-25 · diff ↗
R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2022-10-23
requires archived package 'HI'
0.1
record
2022-08-23
R
R 4.2.0 released · 2022-04-22

Package metadata

First published: 2022-08-23
Total releases: 3 / 4 yrs
License: GPL-2 OSI
Download size: 6.1 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ExGaussEstim")

Format

DUMONCEL, J., BORDES, C., EL HAJ, A., PERRET, C., SLAOUI, Y., & ZAKKOUR, A. (2023). ExGaussEstim: Quantile Maximization Likelihood Estimation and Bayesian Ex-Gaussian Estimation (Version 0.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.ExGaussEstim

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 ExGaussEstim version 0.1.2 [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.

Report a problem with this page →