Package: nsp
Title: Inference for Multiple Change-Points in Linear Models
Version: 1.0.0
Authors@R: 
    person(given = "Piotr",
           family = "Fryzlewicz",
           role = c("aut", "cre"),
           email = "p.fryzlewicz@lse.ac.uk",
           comment = c(ORCID = "0000-0002-9676-902X"))
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 7.1.2
Depends: R (>= 3.0.0)
Imports: lpSolve
NeedsCompilation: no
Packaged: 2026-10-17 08:03:25 UTC; root
Author: Piotr Fryzlewicz [aut, cre]
        (<https://orcid.org/0000-0002-9676-902X>)
Maintainer: Piotr Fryzlewicz <p.fryzlewicz@lse.ac.uk>
Repository: https://pfryz.r-universe.dev
Date/Publication: 2021-12-21 06:10:06 UTC
RemoteUrl: https://github.com/cran/nsp
RemoteRef: HEAD
RemoteSha: ad4f1c29963fedbfed155ddb45aa759be8e8559c