README.md

In zhenkewu/slamR: Structured Latent Attribute Models in R

slamR: Structured Latent Attribute Models in R

An R package for Structured Latent Attribute Models (SLAM)

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Maintainer: Zhenke Wu, [e-mail]

References: If you are using slamR for clustering multivariate binary observations with SLAM, please cite the following papers:

| | Citation | Paper Link | ------------- | ------------- | ------------- | | SLAM - multilevel latent attributes and multilevel tree-structured responses, unknown Q | Gu Y, Li M, Xu G, Wu Z (2020+). Interpretable Clustering of Hierarchical Dependent Binary Data: A Doubly-Multi-Resolution Approach. In progress. | link| | SLAM - known Q | Gu Y and Xu G (2019). Learning attribute patterns in high-dimensional structured latent attribute models. Journal of Machine Learning Research 20.115: 1-58 |Link| | SLAM - hierarchical attributes, unknown Q | Gu Y and Xu G (2019). Identification and Estimation of Hierarchical Latent Attribute Models. arXiv:1906.07869| link|

Table of content

• 1. Installation
• 2. Overview
• 2. Example

Installation -------------- wzxhzdk:0

Overview ---------- Structured latent attribute models (SLAMs) are a special family of discrete latent variable models widely used in social and biological sciences. This paper considers the problem of learning significant attribute patterns from a SLAM with potentially high-dimensional configurations of the latent attributes. We address the theoretical identifiability issue, propose a penalized likelihood method for the selection of the attribute patterns, and further establish the selection consistency in such an overfitted SLAM with a diverging number of latent patterns. The good performance of the proposed methodology is illustrated by simulation studies and two real datasets in educational assessments. **slamR** works for * one-level binary responses - known Q, unknown attribute set - unknown Q, unknown attribute set * two-level binary responses - unknown or known Q, unknown attribute sets at both levels

Examples (two-level binary responses) --------- - 1. Example code to use `slamR` is at [`inst/example/compare_flat.R`](inst/example/compare_flat.R) - 2. restricted latent class analysis with **pre-specified # of factors** but unknown # of clusters * Example of the Tree Structure of Observed ICD-9 Codes  * Incorporate tree structure  * doubly-multi-resolution approach for dealing with two-level multivariate binary data 

zhenkewu/slamR documentation built on March 8, 2020, 1:31 a.m.