topicmodels: posterior-methods – R documentation

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posterior-methods

Determine posterior probabilities

Description

Determine the posterior probabilities of the topics for each document and of the terms for each topic for a fitted topic model.

Usage

## S4 method for signature 'TopicModel,missing'
posterior(object, newdata, ...)
## S4 method for signature 'TopicModel,ANY'
posterior(object, newdata, control = list(), ...)

Arguments

`object`	An object of class "TopicModel".
`newdata`	If missing the posteriors for the original observations are returned.
`control`	A named list of the control parameters for estimation or a suitable control object.
`...`	Currently not used.

Author(s)

Bettina Gruen

topicmodels

Topic Models

v0.2-12

GPL-2

Authors

Bettina Grün [aut, cre] (<https://orcid.org/0000-0001-7265-4773>), Kurt Hornik [aut] (<https://orcid.org/0000-0003-4198-9911>), David M Blei [ctb, cph] (VEM estimation of LDA and CTM), John D Lafferty [ctb, cph] (VEM estimation of CTM), Xuan-Hieu Phan [ctb, cph] (MCMC estimation of LDA), Makoto Matsumoto [ctb, cph] (Mersenne Twister RNG), Takuji Nishimura [ctb, cph] (Mersenne Twister RNG), Shawn Cokus [ctb] (Mersenne Twister RNG)

Initial release