R Observatory: Metrics for BINtools version 0.2.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BINtools

0.2.0Package record

Bayesian BIN (Bias, Information, Noise) Model of Forecasting

0packages depend

3.8Kdownloads / year

70.6%test coverage

13/13flavors OK

Overview

About

Maintained by Ville SatopääCRAN page ↗

A recently proposed Bayesian BIN model disentangles the underlying processes that enable forecasters and forecasting methods to improve, decomposing forecasting accuracy into three components: bias, partial information, and noise. By describing the differences between two groups of forecasters, the model allows the user to carry out useful inference, such as calculating the posterior probabilities of the treatment reducing bias, diminishing noise, or increasing information. It also provides insight into how much tamping down bias and noise in judgment or enhancing the efficient extraction of valid information from the environment improves forecasting accuracy. This package provides easy access to the BIN model. For further information refer to the paper Ville A. Satopää, Marat Salikhov, Philip E. Tetlock, and Barbara Mellers (2021) "Bias, Information, Noise: The BIN Model of Forecasting" doi:10.1287/mnsc.2020.3882.

Install

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

install.packages("BINtools", 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-bintools

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-BINtools

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-BINtools

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: 28.1 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-29
ERROR12 OK, 1 ERROR2026-07-27
OK12 OK2026-04-25

Show 3 earlier changesHide 3 earlier changes

NOTE11 OK, 3 NOTE2026-04-22
ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
NOTE11 OK, 3 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.0

READMEYes · 64 wordsVignettesYes · 1 · staticNEWSYes · 100% structured · does not mention 0.2.0Citation fileNoWebsitenot declared in DESCRIPTION

Help pages: 4includes a package overview page
Examples that run: 0%3 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 78%
Return-value docs: 100%
Help pages citing references: 25%

Vignettes (1)

BINtools

How these are measured

Downloads

3.8K

CRAN downloads in the past year

Rank #10,437 · ~10/day · ~318/mo

Releases R versions

Daily download trend is not available in this view yet.

34030 days

98790 days

3.8K1 year

Compare downloads with other packages →

Also on371 r2u43 autocran

How downloads are counted

Dependencies

Declared dependencies

19 external dependencies (excludes base and recommended)

Installing BINtools adds 53 packages (26 with compiled code, 56 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (1)

R >= 3.4.0

Imports (9)

methodsRcpp rstan dplyr (>= 1.0.2)tibble stringi mvtnorm (>= 1.1.1)combinat rstantools

LinkingTo (6)

BH Rcpp RcppEigen RcppParallel rstan StanHeaders (>= 2.18.0)

Suggests (5)

testthat knitr rmarkdown pacman RcppParallel

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (3)

Ville Satopää

Author, Maintainer since 0.1.0 (2021)

Elvira Moreno

Author

Marat Salikhov

Author

Releases (2)

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
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
0.2.0Latest
record
2022-04-04 · current release · diff ↗
0.1.0
record
2021-06-10
R
R 4.1.0 released · 2021-05-18

Package metadata

First published: 2021-06-10
Total releases: 2 / 5 yrs
License: GPL-3 OSI
Minimum R: ≥ 3.4.0
Download size: 92 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BINtools")

Format

Satopää, V., Moreno, E., & Salikhov, M. (2022). BINtools: Bayesian BIN (Bias, Information, Noise) Model of Forecasting (Version 0.2.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BINtools

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 BINtools version 0.2.0 [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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