W_from_AD: Estimation of W from A and X
In TopicScore: The Topic SCORE Algorithm to Fit Topic Models
Description
Usage
Arguments
Value
Author(s)
Examples
Description
This function estimates the topic-document matrix W from the word-topic matrix A and the word-document X through quadratic programming.
Usage
1
W_from_AD(A, X)
Arguments
A
The p-by-K word-topic matrix.
X
The p-by-n word-document matrix.
Value
The estimated K-by-n topic-document matrix W_hat.
Author(s)
Minzhe Wang
Examples
1
2
3
4
data("AP")
K <- 3
tscore_obj <- topic_score(K, AP)
W_hat <- W_from_AD(tscore_obj$A_hat, AP)
TopicScore documentation built on June 6, 2019, 5:06 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
This function estimates the topic-document matrix W from the word-topic matrix A and the word-document X through quadratic programming.
Usage
1 | W_from_AD(A, X)
|
Arguments
A |
The p-by-K word-topic matrix. |
X |
The p-by-n word-document matrix. |
Value
The estimated K-by-n topic-document matrix W_hat.
Author(s)
Minzhe Wang
Examples
1 2 3 4 | data("AP")
K <- 3
tscore_obj <- topic_score(K, AP)
W_hat <- W_from_AD(tscore_obj$A_hat, AP)
|
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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