Package: Largevars 1.0.2

Eszter Kiss

Largevars: Testing Large VARs for the Presence of Cointegration

Conducts a cointegration test for high-dimensional vector autoregressions (VARs) of order k based on the large N,T asymptotics of Bykhovskaya and Gorin, 2022 (<doi:10.48550/arXiv.2202.07150>). The implemented test is a modification of the Johansen likelihood ratio test. In the absence of cointegration the test converges to the partial sum of the Airy-1 point process. This package contains simulated quantiles of the first ten partial sums of the Airy-1 point process that are precise up to the first three digits.

Authors:Anna Bykhovskaya [aut], Vadim Gorin [aut], Eszter Kiss [cre, aut]

Largevars_1.0.2.tar.gz
Largevars_1.0.2.zip(r-4.7-any)Largevars_1.0.2.zip(r-4.6-any)Largevars_1.0.2.zip(r-4.5-any)
Largevars_1.0.2.tgz(r-4.6-any)Largevars_1.0.2.tgz(r-4.5-any)
Largevars_1.0.2.tar.gz(r-4.7-any)Largevars_1.0.2.tar.gz(r-4.6-any)
Largevars_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Largevars/json (API)

# Install 'Largevars' in R:
install.packages('Largevars', repos = c('https://eszter-kiss.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/eszter-kiss/largevars/issues

Datasets:
  • percentiles - Quantiles for the limiting distribution of the test
  • s_p100_price - Stock price data for example in vignette

On CRAN:

Conda:

2.70 score 1 stars 8 scripts 344 downloads 3 exports 0 dependencies

Last updated from:8ac452c718. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK114
source / vignettesOK140
linux-releaseOK101
macos-releaseOK106
macos-oldrelOK102
windows-develOK80
windows-releaseOK71
windows-oldrelOK59
wasm-releaseOK80

Exports:largevarquantile_tablessim_function

Dependencies: