Nothing
Specific dimension reduction methods for replicated graphs (multiple undirected graphs repeatedly measured on a common set of nodes). The package contains efficient procedures for estimating a shared baseline propensity matrix and graph-specific low rank matrices. The algorithm uses block coordinate descent algorithm to solve the model, which alternatively performs L2-penalized logistic regression and multiple partial eigenvalue decompositions, as described in the paper Wang et al. (2017) <arXiv:1707.06360>.
Package details |
|
---|---|
Author | Lu Wang [aut, cre] |
Maintainer | Lu Wang <wangronglu22@gmail.com> |
License | GPL-2 |
Version | 0.1.0 |
URL | https://arxiv.org/abs/1707.06360 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.