R Observatory: Metrics for WienR version 0.3-17

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

WienR

Derivatives of the First-Passage Time Density and Cumulative Distribution Function, and Random Sampling from the (Truncated) First-Passage Time Distribution

1packages dependsuggested by 2

7.3Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Raphael HartmannCRAN page ↗

First, we provide functions to calculate the partial derivative of the first-passage time diffusion probability density function (PDF) and cumulative distribution function (CDF) with respect to the first-passage time t (only for PDF), the upper barrier a, the drift rate v, the relative starting point w, the non-decision time t0, the inter-trial variability of the drift rate sv, the inter-trial variability of the rel. starting point sw, and the inter-trial variability of the non-decision time st0. In addition the PDF and CDF themselves are also provided. Most calculations are done on the logarithmic scale to make it more stable. Since the PDF, CDF, and their derivatives are represented as infinite series, we give the user the option to control the approximation errors with the argument 'precision'. For the numerical integration we used the C library cubature by Johnson, S. G. (2005-2013) https://github.com/stevengj/cubature. Numerical integration is required whenever sv, sw, and/or st0 is not zero. Note that numerical integration reduces speed of the computation and the precision cannot be guaranteed anymore. Therefore, whenever numerical integration is used an estimate of the approximation error is provided in the output list. Note: The large number of contributors (ctb) is due to copying a lot of C/C++ code chunks from the GNU Scientific Library (GSL). Second, we provide methods to sample from the first-passage time distribution with or without user-defined truncation from above. The first method is a new adaptive rejection sampler building on the works of Gilks and Wild (1992; doi:10.2307/2347565) and Hartmann and Klauer (in press). The second method is a rejection sampler provided by Drugowitsch (2016; doi:10.1038/srep20490). The third method is an inverse transformation sampler. The fourth method is a "pseudo" adaptive rejection sampler that builds on the first method. For more details see the corresponding help files.

Install

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

install.packages("WienR", 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-wienr

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-WienR

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-WienR

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: 2.9 min · r-devel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.3-17

READMENoVignettesNoNEWSNoCitation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 23
Examples that run: 100%23 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 96%

How these are measured

Downloads

7.3K

CRAN downloads in the past year

Rank #3,376 · ~20/day · ~610/mo

Releases R versions

Daily download trend is not available in this view yet.

2K30 days

3.3K90 days

7.3K1 year

Compare downloads with other packages →

Also on402 r2u3 autocran92 c2d4u

How downloads are counted

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Installing WienR adds no packages beyond those that come with R.

Depends (0)

none

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

1direct

0indirect

Imports 1

Suggested by 2

Depends, Imports or LinkingTo, most downloaded first

EMC2

Suggests, most downloaded first

rtdists fddm

How these are counted

Code & Tests

People & History

People (9)

Raphael Hartmann

Author, Maintainer since 0.1-9 (2021)

Karl C. Klauer

Copyright holder, Author, Contributor, Thesis advisor

Contributor

Contributor

Contributor

Contributor

Contributor

Contributor

Contributor

Releases (14)

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
0.3-17Latest
record
2023-11-29 · current release · diff ↗ ·
added 2 exports
WienerQuant, qWDM
0.3-15
record
2023-11-29 · diff ↗
0.3-14
record
2023-07-04 · diff ↗
0.3-10
record
2023-05-23 · diff ↗
0.3-9
record
2023-04-23 · diff ↗ ·
added 5 exports
dWDM, ddWDM, dpWDM, pWDM, rWDM
R
R 4.3.0 released · 2023-04-21
0.3-8
record
2023-01-26 · diff ↗
0.3-7
record
2022-10-28 · diff ↗
0.3-6
record
2022-04-23 · diff ↗
R
R 4.2.0 released · 2022-04-22
0.3-4
record
2022-04-16 · diff ↗
0.3-0
record
2021-11-25 · diff ↗ ·
added 1 export
sampWiener
0.2-2
record
2021-09-02 · diff ↗

Show 5 earlier eventsHide 5 earlier events

0.2-1
record
2021-08-20 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.2-0
record
2021-05-12 · diff ↗
0.1-9
record
2021-05-07
R
R 4.0.0 released · 2020-04-24

Package metadata

First published: 2021-05-07
Total releases: 14 / 5 yrs
License: GPL (>= 2) OSI
Download size: 68 KB

Appears in task views

Probability Distributions

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("WienR")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 WienR version 0.3-17 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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