lda_fgs_acgs_ppc: Estimates Posterior Predictive Values (demo)
In clintpgeorge/ldamcmc: Markov chain Monte Carlo Algorithms for the Latent Dirichlet Allocation Model
Description
Usage
Note
Author(s)
Description
This script computes the estimate of Posterior Predictive Values based on the
LDA Full Gibbs sampler (FGS) and the Augmented Collapsed Gibbs sampler (ACGS)
for the data set wt16.
Usage
1
2
3
# cd to the ldamcmc source folder demo
Rscript lda_fgs_acgs_ppc.R
Note
Added on November 10, 2015
Author(s)
Clint P. George
clintpgeorge/ldamcmc documentation built on Feb. 22, 2020, 12:39 p.m.
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Description Usage Note Author(s)
Description
This script computes the estimate of Posterior Predictive Values based on the LDA Full Gibbs sampler (FGS) and the Augmented Collapsed Gibbs sampler (ACGS) for the data set wt16.
Usage
1 2 3 | # cd to the ldamcmc source folder demo
Rscript lda_fgs_acgs_ppc.R
|
Note
Added on November 10, 2015
Author(s)
Clint P. George
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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