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Test for independence of two random vectors, learn and report the dependency structure. For more information, see Gorsky, Shai and Li Ma, Multiscale Fisher's Independence Test for Multivariate Dependence, Biometrika, accepted, January 2022.
Version: | 1.1.1 |
Imports: | Rcpp (≥ 1.0.8), data.table |
LinkingTo: | Rcpp, RcppArmadillo |
Suggests: | png, qgraph, knitr, rmarkdown |
Published: | 2022-01-18 |
DOI: | 10.32614/CRAN.package.MultiFit |
Author: | S. Gorsky, L. Ma |
Maintainer: | S. Gorsky <sgorsky at umass.edu> |
License: | CC0 |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | MultiFit results |
Reference manual: | MultiFit.pdf |
Vignettes: |
MultiFit |
Package source: | MultiFit_1.1.1.tar.gz |
Windows binaries: | r-devel: MultiFit_1.1.1.zip, r-release: MultiFit_1.1.1.zip, r-oldrel: MultiFit_1.1.1.zip |
macOS binaries: | r-release (arm64): MultiFit_1.1.1.tgz, r-oldrel (arm64): MultiFit_1.1.1.tgz, r-release (x86_64): MultiFit_1.1.1.tgz, r-oldrel (x86_64): MultiFit_1.1.1.tgz |
Old sources: | MultiFit archive |
Please use the canonical form https://CRAN.R-project.org/package=MultiFit to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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