GenerateData: Generate random dataset

In MMDai: Multivariate Multinomial Distribution Approximation and Imputation for Incomplete Categorical Data

Description

This function is used to generate random datasets following mixture of product multinomial distribution

Usage

GenerateData(
  n,
  p,
  d,
  k = 3,
  theta = rdirichlet(1, rep(10, k)),
  psi = InitialPsi(p, d, k)
)

Arguments

n	- number of samples
p	- number of variables
d	- a vector which denotes the number of categories for each variable. It could be distinct among variables.
k	- number of latent classes
theta	- probability for latent class
psi	- probability for specific category

Value

data - generated random dataset, a matrix with n rows and p columns.

Examples

# dimension parameters
n<-200; p<-5; d<-rep(2,p);
# generate complete data
Complete<-GenerateData(n, p, d, k = 3)

Example output

Loading required package: DirichletReg
Loading required package: Formula
Loading required package: rgl
Warning messages:
1: In rgl.init(initValue, onlyNULL) : RGL: unable to open X11 display
2: 'rgl_init' failed, running with rgl.useNULL = TRUE 
3: .onUnload failed in unloadNamespace() for 'rgl', details:
  call: fun(...)
  error: object 'rgl_quit' not found 

MMDai documentation built on May 2, 2020, 9:05 a.m.