Package: LSEbootLS
Date: 2024-05-01
Type: Package
Title: Bootstrap Methods for Regression Models with Locally Stationary
        Errors
Version: 0.1.0
Authors@R: c(person("Guillermo", "Ferreira", role = "aut",
                     email = "gferreri@udec.cl"),
              person("Joel", "Muñoz", role = "aut",
                     email = "joelmuno@udec.cl"),
              person("Nicolas", "Loyola", role = c("aut", "cre"),
                     email = "nloyola2016@udec.cl"))
Maintainer: Nicolas Loyola <nloyola2016@udec.cl>
Description: Implements bootstrap methods for linear regression models
        with errors following a time-varying process, focusing on
        approximating the distribution of the least-squares estimator
        for regression models with locally stationary errors. It
        enables the construction of bootstrap and classical confidence
        intervals for regression coefficients, leveraging intensive
        simulation studies and real data analysis. The methodology is
        based on the approach described in Ferreira et al. (2020),
        allowing errors to be locally approximated by stationary
        processes.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
Depends: doParallel, R (>= 2.10)
Imports: foreach, doRNG, stats, parallel, LSTS, tibble, iterators,
        rlecuyer
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Repository: https://nicolas-udec.r-universe.dev
Date/Publication: 2024-06-29 01:59:11 UTC
RemoteUrl: https://github.com/nicolas-udec/lsebootls
RemoteRef: HEAD
RemoteSha: 7074dafe8c144a0c70a550296dba500ae4e97c9b
NeedsCompilation: no
Packaged: 2026-06-19 10:23:06 UTC; root
Author: Guillermo Ferreira [aut],
  Joel Muñoz [aut],
  Nicolas Loyola [aut, cre]