Rlda (version 0.2.6)

generateMultinomialLDA: Simulates a Multinomial LDA.

Description

Simulates a Multinomial LDA.

Usage

# S3 method for rlda
generateMultinomialLDA(seed0, community, variables,
  observations, totalElements, beta, gamma, ...)

Arguments

seed0

Initial seed to simulate a Multinomial 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.

beta

Vector of positive hyperparameters with dimension equal variables.

gamma

Scalar hyperparameters that must be positive.

...

other arguments may be useful.

Details

Generates a list with the simulated Theta and Phi matrix of parameters, Z latent matrix of communities and and Data matrix for the Multinomial LDA.

See Also

generateBernoulliLDA, generateBinomialLDA

Examples

# NOT RUN {
#Generate fake data
res<- generateMultinomialLDA.rlda(seed0=5587, community=4,
         variables=100, observations=1000, totalElements=40,
         beta=rep(1,100), gamma=0.01)
#Show results
res
# }