mingzehuang/latentcor
latentcor is an R package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).
This tool helps researchers and analysts accurately calculate relationships between different types of data, even when that data is a mix of continuous measurements, binary choices, categories, or values with many zeros. It takes your mixed dataset as input and provides a matrix of latent correlations, revealing underlying connections that traditional methods might miss. This is ideal for anyone working with real-world datasets that often combine various forms of information, such as in social sciences, health research, or market analysis.
Use this if you need to find the true underlying correlations in your dataset, especially when it contains a mix of continuous, binary, categorical, or zero-inflated variables.
Not ideal if your data is exclusively of one type (e.g., all continuous) or if you require extreme precision for ternary/zero-inflated cases near boundary proportions with the approximation method, where higher accuracy might be found in the Python version.
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6
Language
R
License
GPL-3.0
Category
Last pushed
Nov 18, 2025
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