Analysis tools for multivariate mixed data and continous/truncated/discrete functional data using Semiparametric Gaussian Copula (SGC)

Data-driven thresholds for optimal summary of wearable device data

STAT 600 R Package project @ TAMU @ Fall 2022

R package to update hyperparameters in Gaussian Process models

RSA Package

GPRrdd package: R package that fits regression discontinuity designs using Gaussian Process Regression

R package ACBalancing

Variable Selection Using Shrinkage Priors

R package for computing penalized structural Hamming distance between DAG structures

The official implementation of the paper "Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification."

Make some private GitHub repo directories public

A userscript to insert citations from Zotero into ShareLaTeX as you write

latentcor is an R package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).

Analysis of data produced by close-loop technology for the management of Type I diabetes for the purpose of teaching.

latentcor is a Python package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).

Code for reproducing results shown in "Double-matched matrix decomposition for multi-view data".

This repository holds the corresponding data for the MAGE Paper by Nathaniel Fernandes

An R package for analyzing blood pressure data

A package for binary classification using discriminant analysis.