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sshist  

Optimal Histogram Binning Using Shimazaki-Shinomoto Method
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sshist", "0.1.1")



Attach the package and use:
library("sshist")
Maintained by
Daniil Popov
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-12
Latest Update: 2026-02-12
Description:
Implements the Shimazaki-Shinomoto method (2007) <doi:10.1162/neco.2007.19.6.1503> for optimizing the bin width of a histogram. This method minimizes the mean integrated squared error (MISE) and features a C++ backend for high performance and shift-averaging to remove edge-position bias. Ideally suits for time-dependent rate estimation and identifying intrinsic data structures. Supports both 1D and 2D data distributions.
How to cite:
Daniil Popov (2026). sshist: Optimal Histogram Binning Using Shimazaki-Shinomoto Method. R package version 0.1.1, https://cran.r-project.org/web/packages/sshist. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-17 17:50), 0.1.1 (2026-02-12 09:20), 0.1.2 (2026-02-13 08:40), 0.1.3 (2026-03-04 11:40), 0.2.2 (2026-07-09 22:50), 0.2.3 (2026-07-15 09:50)
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Complete documentation for sshist
Functions, R codes and Examples using the sshist R package
Full sshist package functions and examples
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