gen_bin_data generate the data used for the model experiment
gen_bin_data(beta, N, nclass, seed)A numeric vector that represents the true coefficients that used to generate the synthesized data.
A numeric number specifying the number of the synthesized data. It should be an integer.
A numeric number used to specify how many clusters the original data would be transformed into. It should be an integer.
Set random number seed.
a list of seven elements:
list with clustering results. Samples in the same list element are closer with each other
the samples with the smallest variance from each cluster. Note that the length of X is the same as the number of data.clust
the target value of 0 or 1 corresponding to X
The function gen_bin_data generates N points. That is,the first column of the design matrix is 1 and the second column has a normal distribution with a mean of 1 and a variance of 1 and the rest columns with a mean of 0 and a variance of 1. Next, they are clustered into classes to decrease the computation cost. You should specify the number of classes. In the function, it's the parameter nclass.
Wang Z, Kwon Y, Chang YcI (2019). Active learning for binary classification with variable selection. arXiv preprint arXiv:1901.10079.
gen_multi_data for categorical and ordinal case
gen_GEE_data for generalized estimating equations case.
# NOT RUN {
# For an example, see example(seq_bin_model)
# }
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