LSEbootLS

cranv0.1.0

Bootstrap Methods for Regression Models with Locally Stationary Errors. 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 in

License GPL (>= 3)0 versions1 maintainers9 deps54 weekly dl
https://CRAN.R-project.org/package=LSEbootLS
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doParallelforeachdoRNGstatsparallelLSTStibbleiteratorsrlecuyer
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First published · 2024-07-01 10:49:37

Last updated · 2024-07-01T09:10:03+00:00