This R package, ldamcmc, implements several Markov chain Monte Carlo (MCMC) algorithms for the latent Dirichlet allocation (LDA) model. This includes:
For package documentation run
help("ldamcmc")
in an R console. All major functions and datasets are documented and linked to the package index. Raw data files for each dataset are available in the data-raw folder. To load raw data see demo/load_raw_data.R
.
To see all demo R scripts available in this package, run
demo(package="ldamcmc")
in an R console. Some scripts can be executed via running
demo(file-name, package="ldamcmc")
in an R console. The rest of them may require commandline arguments for execution. Please see the documentation provided in each script before execution.
This package uses the following R packages, which are already included in this R package. Rcpp RcppArmadillo based on the Armadillo C++ package * lattice
R CMD INSTALL ldamcmc
on the commandline R CMD REMOVE ldamcmc
on the commandline This research is partially supported by generous contributions from the International Center for Automated Research (ICAIR) at the University of Florida Levin College of Law.
The authors would like to thank Dr. Joseph N. Wilson, Zhe Chen, and Wei Xia for the valuable discussions and critics that helped throughout the development of this project.
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