Maximum a posteriori (MAP) estimation for topic models (i.e., Latent Dirichlet Allocation) in text analysis, as described in Taddy (2012) 'On estimation and selection for topic models'. Previous versions of this code were included as part of the 'textir' package. If you want to take advantage of openmp parallelization, uncomment the relevant flags in src/MAKEVARS before compiling.
|Author||Matt Taddy <firstname.lastname@example.org>|
|Maintainer||Matt Taddy <email@example.com>|
|Package repository||View on GitHub|
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