Package: LSEbootLS
Date: 2024-06-28
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.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: TRUE
Depends: doParallel, R (>= 2.10)
Imports: foreach, doRNG, stats, parallel, LSTS, tibble, iterators,
        rlecuyer
RoxygenNote: 7.3.1
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2024-06-29 04:35:05 UTC; nicol
Author: Guillermo Ferreira [aut],
  Joel Muñoz [aut],
  Nicolas Loyola [aut, cre]
Repository: CRAN
Date/Publication: 2024-07-01 10:10:03 UTC
Built: R 4.6.0; ; 2026-04-26 08:31:57 UTC; unix
