sshist: Optimal Histogram Binning Using Shimazaki-Shinomoto Method

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.

Version: 0.1.1
Imports: graphics, grDevices, Rcpp, stats
LinkingTo: Rcpp
Suggests: ggplot2, knitr, rmarkdown
Published: 2026-02-12
DOI: 10.32614/CRAN.package.sshist (may not be active yet)
Author: Daniil Popov [aut, cre]
Maintainer: Daniil Popov <popov.daniil at gmail.com>
BugReports: https://github.com/celebithil/sshist/issues
License: GPL (≥ 3)
URL: https://github.com/celebithil/sshist, https://www.neuralengine.org/res/histogram.html
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: sshist results

Documentation:

Reference manual: sshist.html , sshist.pdf
Vignettes: Introduction to sshist (source, R code)

Downloads:

Package source: sshist_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): sshist_0.1.1.tgz, r-oldrel (arm64): sshist_0.1.1.tgz, r-release (x86_64): not available, r-oldrel (x86_64): sshist_0.1.1.tgz

Linking:

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