Multinomial Logistic-Normal Models (really fast)
its a little tar-ball of joy
Silverman, JD, Roche, K, Holmes, ZC, David, LA, and Mukherjee, S. Bayesian Multinomial Logistic Normal Models through Marginally Latent Matrix-T Processes. 2019, arXiv e-prints, arXiv:1903.11695
All source code freely availale under GPL-3 License.
devtools::install_github("jsilve24/fido")
Or to download the development version
devtools::install_github("jsilve24/fido", ref="develop")
A few notes:
- There are a few installation options that can greatly speed fido up (often by as much as 10-50 fold). For a more detailed description of installation, take a look at the installation page.
- Vignettes are prebuilt on the fido webpage. If you
want vignettes to build locally during package installation you must also pass the
build=TRUE
andbuild_opts = c("--no-resave-data", "--no-manual")
options toinstall_github
.
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I appreciate bug reports and feature requests. Please post to the github issue tracker here.