# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "nsp" in publications use:'
type: software
license: GPL-3.0-or-later
title: 'nsp: Inference for Multiple Change-Points in Linear Models'
version: 1.0.0
doi: 10.32614/CRAN.package.nsp
abstract: Implementation of Narrowest Significance Pursuit, a general and flexible
  methodology for automatically detecting localised regions in data sequences which
  each must contain a change-point (understood as an abrupt change in the parameters
  of an underlying linear model), at a prescribed global significance level. Narrowest
  Significance Pursuit works with a wide range of distributional assumptions on the
  errors, and yields exact desired finite-sample coverage probabilities, regardless
  of the form or number of the covariates. For details, see P. Fryzlewicz (2021) <https://stats.lse.ac.uk/fryzlewicz/nsp/nsp.pdf>.
authors:
- family-names: Fryzlewicz
  given-names: Piotr
  email: p.fryzlewicz@lse.ac.uk
  orcid: https://orcid.org/0000-0002-9676-902X
repository: https://pfryz.r-universe.dev
commit: ad4f1c29963fedbfed155ddb45aa759be8e8559c
date-released: '2021-12-21'
contact:
- family-names: Fryzlewicz
  given-names: Piotr
  email: p.fryzlewicz@lse.ac.uk
  orcid: https://orcid.org/0000-0002-9676-902X