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multiviewtest

R package that implements tests for whether clusterings of two data views (both multivariate, both networks, or one multivariate and one network) are independent. See reference 1: Gao, L.L., Bien, J., and Witten, D. (2020) "Are Clusterings of Multiple Data Views Independent?", Biostatistics, DOI: 10.1093/biostatistics/kxz001 and reference 2: Gao, L.L., Witten, D., Bien, J. (2021) Testing for Association in Multi-View Network Data, to appear in Biometrics, DOI: 10.1111/biom.13464,

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Install

install.packages('multiviewtest')

Monthly Downloads

42

Version

2.0.1

License

GPL-2

Maintainer

Lucy L. Gao

Last Published

October 13th, 2021

Functions in multiviewtest (2.0.1)

test_indep_clust_subset

Pseudo likelihood ratio test for independence of clusterings
mv_memberships_gen

Generates multi-view subgroup memberships
multiviewtest-package

multiviewtest: Hypothesis tests for association between subgroups in two data views.
mv_sbm_gen

Generates data from a stochastic block model for multiple network data views
test_indep_com

Pseudo pseudolikelihood ratio test for dependent communities
mv_sbm_gmm_gen

Generates data from a stochastic block model for a network view and a multivariate view
mv_gmm_gen

Generates data from a multi-view Gaussian mixture model
test_indep_com_clust

Pseudo pseudolikelihood ratio test for association between communities in a network view and clusters in a multivariate view
optimize_over_Pi

Exponentiated gradient descent for estimating Pi
pl_est_com

Fits the stochastic block model using maximum pseudolikelihood estimation
test_indep_clust

Pseudo likelihood ratio test for dependent clusterings