Skip to content

@IrinaStatsLab IrinaStatsLab

Change the repository type filter

All

    Repositories list

    13 repositories

    • OptiThresholds

      Public
      Data-driven thresholds for optimal summary of wearable device data
      Jupyter Notebook
      •0•2•0•0•Updated Mar 27, 2026Mar 27, 2026

    • ihr

      Public
      R package for Interpreting Heart Rate (ihr) from wearable devices
      R
      •
      GNU General Public License v3.0
      •2•3•0•0•Updated Mar 3, 2026Mar 3, 2026

    • SmoothTensorDecompositionABPM

      Public
      R
      •0•0•0•0•Updated Feb 26, 2026Feb 26, 2026

    • SmoothHOOI

      Public
      C++
      •
      GNU General Public License v3.0
      •0•0•0•0•Updated Feb 24, 2026Feb 24, 2026

    • iglu

      Public
      R package for Interpreting GLUcose data from CGMs (Continuous Glucose Monitors)
      R
      •
      GNU General Public License v2.0
      •29•0•0•0•Updated Sep 10, 2025Sep 10, 2025

    • Awesome-CGM

      Public
      List of CGM datasets
      R
      •
      MIT License
      •50•229•2•0•Updated Dec 21, 2024Dec 21, 2024

    • iglu-py

      Public
      Jupyter Notebook
      •
      GNU General Public License v2.0
      •2•3•1•0•Updated Sep 15, 2024Sep 15, 2024

    • GlucoBench

      Public
      The official implementation of the paper "GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks."
      deep-learningtime-seriescgm
      deep-learningtime-seriescgmglucose-monitoringuncertainty-quantificationmedical-applicationglucose-prediction
      Jupyter Notebook
      •16•33•1•0•Updated Aug 20, 2024Aug 20, 2024

    • ECCA

      Public
      R
      •
      MIT License
      •2•1•0•0•Updated Jul 29, 2022Jul 29, 2022

    • GitSetup

      Public
      Basic git setup (loosely based on HW1 from STAT 600: Computational Statistics)
      R
      •17•0•0•0•Updated Feb 15, 2022Feb 15, 2022

    • latentcor

      Public
      latentcor is an R package provides estimation for latent correlation with mixed data types (continuous, binary, truncated and ternary).
      R
      •
      GNU General Public License v3.0
      •6•0•0•0•Updated Dec 31, 2021Dec 31, 2021

    • mixedCCA

      Public
      R package for sparse canonical correlation analysis with mixed data types (continuous, binary, zero-truncated)
      R
      •11•0•0•0•Updated Jul 29, 2021Jul 29, 2021

    • MGSDApackage

      Public
      R package for Multi-Group Sparse Discriminant Analysis
      R
      •2•0•0•0•Updated Mar 10, 2021Mar 10, 2021
    ProTip! When viewing an organization's repositories, you can use the props. filter to filter by custom property.