9 citations · 9 across the 2 of their papers we have counts for
2 papers
stat.ME2018
The Lazy Bootstrap. A Fast Resampling Method for Evaluating Latent Class Model Fit
Geert H. van Kollenburg, Joris Mulder, Jeroen K. Vermunt
The latent class model is a powerful unsupervised clustering algorithm for categorical data. Many statistics exist to test the fit of the latent class model. However, traditional m…
stat.ME2018★ 9 cited
The Expected Parameter Change (EPC) for Local Dependence Assessment in Binary Data Latent Class Models
Daniel L. Oberski, Jeroen K. Vermunt
Binary data latent class models crucially assume local independence, violations of which can seriously bias the results. We present two tools for monitoring local dependence in bin…