generateBinomialLDA: Simulates a Binomial LDA.

In Rlda: Bayesian LDA for Mixed-Membership Clustering Analysis

Description

Simulates a Binomial LDA.

Usage

  ## S3 method for class 'rlda'
generateBinomialLDA(seed0, community, variables,
                         observations,totalElements, alpha0, alpha1, ...)

Arguments

seed0	Initial seed to simulate a Bernoulli LDA.
community	Total number of latent clusters. Must be greater than 2.
variables	Total number of variables. Must be greater than the number of communities.
observations	Total number of observations. Must be greater than 1.
totalElements	Total expected number of elements for each observation. Must be greater than 1.
alpha0	Scalar hyperparameters that must be positive.
alpha1	Scalar hyperparameters that must be positive.
...	other arguments may be useful.

Details

Generates a list with the simulated Theta and Phi matrix of parameters, Population and and Data matrix for the Binomial LDA.

Author(s)

• Pedro Albuquerque.
  [e-mail]
  http://pedrounb.blogspot.com/

• Denis Valle.
  [e-mail]
  http://denisvalle.weebly.com/

• Daijiang Li.
  [e-mail]
  

See Also

generateMultinomialLDA, generateBernoulliLDA

Examples

## Not run: 
#Generate fake data
res<- generateBinomialLDA.rlda(seed0=9292, community=3,
                                variables=100, observations=1000,
                                alpha0=0.01, alpha1=0.01, gamma=0.01)
#Show results
res

## End(Not run)

Rlda documentation built on May 1, 2019, 7:26 p.m.