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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "HiSpaR" in publications use:'
type: software
license: MIT
title: 'HiSpaR: Hierarchical Inference of Spatial Positions from Hi-C Data'
version: 1.1.0
doi: 10.32614/CRAN.package.HiSpaR
abstract: Provides R bindings for HiSpa, a hierarchical Bayesian model for inferring
  three-dimensional chromatin structures from Hi-C contact matrices using Markov Chain
  Monte Carlo (MCMC) sampling. The package implements a cluster-based hierarchical
  approach that efficiently handles large-scale Hi-C datasets. It uses Rcpp and RcppArmadillo
  for efficient C++ integration with the original HiSpa C++ implementation, enabling
  fast computation of chromatin structure inference through parallel MCMC sampling.
authors:
- family-names: Luo
  given-names: Yingcheng
  email: lyc22@mails.tsinghua.edu.cn
repository: https://bioc.r-universe.dev
repository-code: https://github.com/masterStormtrooper/HiSpaR
commit: 14a3af9fa4829689bde7578f18fe97212c71bce6
url: https://github.com/masterStormtrooper/HiSpaR
date-released: '2026-01-15'
contact:
- family-names: Luo
  given-names: Yingcheng
  email: lyc22@mails.tsinghua.edu.cn