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BINtools  

Bayesian BIN (Bias, Information, Noise) Model of Forecasting
View on CRAN: Click here


Download and install BINtools package within the R console
Install from CRAN:
install.packages("BINtools")

Install from Github:
library("remotes")
install_github("cran/BINtools")

Install by package version:
library("remotes")
install_version("BINtools", "0.2.0")



Attach the package and use:
library("BINtools")
Maintained by
Ville Satopää
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-10
Latest Update: 2022-04-04
Description:
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. Satop
How to cite:
Ville Satopää (2021). BINtools: Bayesian BIN (Bias, Information, Noise) Model of Forecasting. R package version 0.2.0, https://cran.r-project.org/web/packages/BINtools. Accessed 07 Oct. 2026.
Previous versions and publish date:
0.1.0 (2021-06-10 10:20), (2026-07-09 07:58)
Other packages that cited BINtools R package
View BINtools citation profile
Other R packages that BINtools depends, imports, suggests or enhances
Complete documentation for BINtools
Functions, R codes and Examples using the BINtools R package
Some associated functions: BINtools-package . complete_summary . estimate_BIN . simulate_data . 
Some associated R codes: BINtools-package.R . complete_summary.R . data_preparation.R . estimate_BIN.R . simulate_data.R . stanmodels.R .  Full BINtools package functions and examples
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