gendata: Generate binary data with Bayesian mixture models

In predmixcor: Classification rule based on Bayesian mixture models with feature selection bias corrected

Description

gendata.mix generates data (both training and test data) from Bayesian mixture model. The prior distribution of "theta" is uniform(0,1). The value of "alpha" is given by argument alpha, which controls the the overall relationship between the response and the predictor variables.

Usage

gendata.mix (n1,n2,m1,m2,p,alpha,prob.y=c(0.9,0.1))

Arguments

n1	the number of class 1 in training data
n2	the number of class 2 in training data
m1	the number of class 1 in test data
m2	the number of class 2 in test data
p	the number of features
alpha	a parameter controlling the dependency between the features and the response
prob.y	a vector of two elements specifying the probabilities of the response being 1 in each group

Value

train	the training data, with the row standing for the cases and the first column being the response
test	the test data, of the same format as "train"

See Also

train_predict_mix

predmixcor documentation built on May 1, 2019, 11:18 p.m.