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maptpx  

MAP Estimation of Topic Models
View on CRAN: Click here


Download and install maptpx package within the R console
Install from CRAN:
install.packages("maptpx")

Install from Github:
library("remotes")
install_github("cran/maptpx")

Install by package version:
library("remotes")
install_version("maptpx", "1.9-7")



Attach the package and use:
library("maptpx")
Maintained by
Matt Taddy
[Scholar Profile | Author Map]
First Published: 2013-12-01
Latest Update: 2020-05-28
Description:
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.
How to cite:
Matt Taddy (2013). maptpx: MAP Estimation of Topic Models. R package version 1.9-7, https://cran.r-project.org/web/packages/maptpx. Accessed 13 Apr. 2025.
Previous versions and publish date:
1.9-1 (2013-12-01 18:52), 1.9-2 (2015-04-02 00:15)
Other packages that cited maptpx R package
View maptpx citation profile
Other R packages that maptpx depends, imports, suggests or enhances
Complete documentation for maptpx
Functions, R codes and Examples using the maptpx R package
Some associated functions: counts . predict.topics . rdir . topicVar . topics . 
Some associated R codes: count.R . topics.R . tpx.R .  Full maptpx package functions and examples
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