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ldaPrototype  

Prototype of Multiple Latent Dirichlet Allocation Runs
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ldaPrototype", "0.3.1")



Attach the package and use:
library("ldaPrototype")
Maintained by
Jonas Rieger
[Scholar Profile | Author Map]
First Published: 2020-01-10
Latest Update: 2021-09-02
Description:
Determine a Prototype from a number of runs of Latent Dirichlet Allocation (LDA) measuring its similarities with S-CLOP: A procedure to select the LDA run with highest mean pairwise similarity, which is measured by S-CLOP (Similarity of multiple sets by Clustering with Local Pruning), to all other runs. LDA runs are specified by its assignments leading to estimators for distribution parameters. Repeated runs lead to different results, which we encounter by choosing the most representative LDA run as prototype.
How to cite:
Jonas Rieger (2020). ldaPrototype: Prototype of Multiple Latent Dirichlet Allocation Runs. R package version 0.3.1, https://cran.r-project.org/web/packages/ldaPrototype. Accessed 29 Apr. 2025.
Previous versions and publish date:
0.1.1 (2020-01-10 18:40), 0.2.0 (2020-07-16 13:10), 0.3.0 (2020-12-02 14:30)
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View ldaPrototype citation profile
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Complete documentation for ldaPrototype
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