build_graph: Construct the adjacency matrix for a topic graph
In topicmodels: Topic Models
Description
Usage
Arguments
Value
Author(s)
References
Description
The lasso is used to determine which edges are present in a topic
graph. The original R code was written by David M. Blei and co-authors
and is available together with the C code for fitting the CTM.
Usage
1
build_graph(x, lambda, and = TRUE)
Arguments
x
Object of class "CTM".
lambda
Numeric in [0,1] indicating the relative bound on
the L1-norm of the parameters.
and
Logical; if TRUE the graph is computed by taking the
intersection of the neighbors, otherwise the union is determined.
Value
Returns an adjacency matrix for the topics versus topics graph.
Author(s)
David M. Blei, modified by Bettina Gruen.
References
Blei D.M., Lafferty J.D. (2007).
A Correlated Topic Model of Science.
The Annals of Applied Statistics, 1(1), 17–35.
topicmodels documentation built on May 30, 2017, 5:16 a.m.
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Description Usage Arguments Value Author(s) References
Description
The lasso is used to determine which edges are present in a topic graph. The original R code was written by David M. Blei and co-authors and is available together with the C code for fitting the CTM.
Usage
1 | build_graph(x, lambda, and = TRUE)
|
Arguments
x |
Object of class |
lambda |
Numeric in [0,1] indicating the relative bound on the L1-norm of the parameters. |
and |
Logical; if |
Value
Returns an adjacency matrix for the topics versus topics graph.
Author(s)
David M. Blei, modified by Bettina Gruen.
References
Blei D.M., Lafferty J.D. (2007). A Correlated Topic Model of Science. The Annals of Applied Statistics, 1(1), 17–35.
R Package Documentation
Browse R Packages
We want your feedback!
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