Package: sshist 0.1.3

Daniil Popov

sshist: Optimal Histogram Binning Using Shimazaki-Shinomoto Method

Implements the Shimazaki-Shinomoto method 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. For more details see Shimazaki and Shinomoto (2007) "A Method for Selecting the Bin Size of a Time Histogram" <doi:10.1162/neco.2007.19.6.1503>.

Authors:Daniil Popov [aut, cre]

sshist_0.1.3.tar.gz
sshist_0.1.3.tar.gz(r-4.7-arm64)sshist_0.1.3.tar.gz(r-4.7-x86_64)sshist_0.1.3.tar.gz(r-4.6-arm64)sshist_0.1.3.tar.gz(r-4.6-x86_64)
sshist_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
sshist/json (API)
NEWS

# Install 'sshist' in R:
install.packages('sshist', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/celebithil/sshist/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda:

cppopenmp

3.00 score 448 downloads 2 exports 1 dependencies

Last updated from:c356fc4d87. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK147
linux-devel-x86_64OK122
source / vignettesOK168
linux-release-arm64OK132
linux-release-x86_64OK128
wasm-releaseOK109

Exports:sshistsshist_2d

Dependencies:Rcpp

Introduction to sshist

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Jun 02 2026.

Last update: 2026-02-13
Started: 2026-02-12