mlrv: Long-Run Variance Estimation in Time Series Regression

Plug-in and difference-based long-run covariance matrix estimation for time series regression. Two applications of hypothesis testing are also provided. The first one is for testing for structural stability in coefficient functions. The second one is aimed at detecting long memory in time series regression.

Version:	0.1.1
Depends:	R (≥ 3.1.0)
Imports:	Rcpp, numDeriv, magrittr, foreach, doParallel, RcppArmadillo, mathjaxr, xtable, stats
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published:	2024-01-08
Author:	Lujia Bai [aut, cre], Weichi Wu [ctb]
Maintainer:	Lujia Bai <bailujia98 at gmail.com>
License:	MIT + file LICENSE
NeedsCompilation:	yes
Language:	en-US
Materials:	README NEWS
CRAN checks:	mlrv results

Documentation:

Reference manual:	mlrv.pdf
Vignettes:	Using mlrv to anaylze data

Downloads:

Package source:	mlrv_0.1.1.tar.gz
Windows binaries:	r-devel: mlrv_0.1.1.zip, r-release: mlrv_0.1.1.zip, r-oldrel: mlrv_0.1.1.zip
macOS binaries:	r-release (arm64): mlrv_0.1.1.tgz, r-oldrel (arm64): mlrv_0.1.1.tgz, r-release (x86_64): mlrv_0.1.1.tgz, r-oldrel (x86_64): mlrv_0.1.1.tgz
Old sources:	mlrv archive

Linking:

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