latentcor: An R Package for estimating latent correlations from mixed data types

We present `latentcor`, an R package for correlation estimation from data with mixed variable types. Mixed variables types, including continuous, binary, ordinal, zero-inflated, or truncated are routinely collected in many areas of science. Accurate correlations among such is often the first critical step statistical analysis workflows. Pearson as default choice not well suited types underlying normality assumption violated. The concept semi-parametric latent Gaussian copula models, on other hand, provides a unifying way to estimate between `latentcor` comprises comprehensive list these enabling any continuous/binary/ternary/zero-inflated (truncated) implementation takes advantage fast multi-linear interpolation scheme efficient grid points, thus giving small memory footprint without compromising accuracy. This makes readily available modern high-throughput analysis.