Package: localgauss 0.41

Tore Selland Kleppe

localgauss: Estimating Local Gaussian Parameters

Computational routines for estimating local Gaussian parameters. Local Gaussian parameters are useful for characterizing and testing for non-linear dependence within bivariate data. See e.g. Tjostheim and Hufthammer, Local Gaussian correlation: A new measure of dependence, Journal of Econometrics, 2013, Volume 172 (1), pages 33-48 <doi:10.1016/j.jeconom.2012.08.001>.

Authors:Tore Selland Kleppe <[email protected]>

localgauss_0.41.tar.gz
localgauss_0.41.tar.gz(r-4.7-arm64)localgauss_0.41.tar.gz(r-4.7-x86_64)localgauss_0.41.tar.gz(r-4.6-arm64)localgauss_0.41.tar.gz(r-4.6-x86_64)
localgauss_0.41.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
localgauss/json (API)

# Install 'localgauss' in R:
install.packages('localgauss', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • fortran– Runtime library for GNU Fortran applications

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblasfortran

1.48 score 1 packages 2 scripts 184 downloads 1 mentions 3 exports 22 dependencies

Last updated from:a1b52003d8. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK130
linux-devel-x86_64OK147
source / vignettesOK137
linux-release-arm64OK122
linux-release-x86_64OK198
wasm-releaseOK107

Exports:localgausslocalgauss.indtestplot.localgauss

Dependencies:clicodetoolscpp11farverforeachggplot2gluegtableisobanditeratorslabelinglifecycleMASSmatrixStatsR6RColorBrewerrlangS7scalesvctrsviridisLitewithr