An implementation of locally Gaussian distributions. It provides methods for implementing locally Gaussian multivariate density estimation, conditional density estimation, various independence tests for iid and time series data, a test for conditional independence and a test for financial contagion.
Version: | 0.4.1 |
Depends: | R (≥ 3.4) |
Imports: | mvtnorm, localgauss, logspline, ggplot2, ks, np, tseries |
Suggests: | testthat |
Published: | 2019-12-05 |
Author: | Håkon Otneim [aut, cre] |
Maintainer: | Håkon Otneim <hakon.otneim at nhh.no> |
License: | GPL-3 |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | lg results |
Reference manual: | lg.pdf |
Package source: | lg_0.4.1.tar.gz |
Windows binaries: | r-devel: lg_0.4.1.zip, r-release: lg_0.4.1.zip, r-oldrel: lg_0.4.1.zip |
macOS binaries: | r-release (arm64): lg_0.4.1.tgz, r-oldrel (arm64): lg_0.4.1.tgz, r-release (x86_64): lg_0.4.1.tgz, r-oldrel (x86_64): lg_0.4.1.tgz |
Old sources: | lg archive |
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