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    • gmwmx2

      Public
      The gmwmx2 R package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX) presented in Voirol, L., Xu, H., Zhang, Y., Insolia, L., Molinari, R. and Guerrier, S. (2024)
      R
      0100Updated Aug 19, 2025Aug 19, 2025
    • swaglm

      Public
      R package that provides fast implementation of the Sparse Wrapper Algorithm (SWAG) for Generalized Linear Models and includes a statistical test to evaluate model meaningfulness.
      R
      0120Updated Jul 28, 2025Jul 28, 2025
    • fima

      Public
      R
      0000Updated Jul 23, 2025Jul 23, 2025
    • pcoqs

      Public
      R
      0000Updated Jul 15, 2025Jul 15, 2025
    • JINIpaper

      Public
      R
      0000Updated Jul 1, 2025Jul 1, 2025
    • Website for the Data Analytics Lab Workshop 2024 in Ovronnaz, Switzerland
      HTML
      0000Updated May 27, 2025May 27, 2025
    • HTML
      0000Updated May 7, 2025May 7, 2025
    • idarps

      Public
      Package for class "Modelling and Data Analysis for Pharmaceutical Sciences" (Introduction to Data Analytics with R for Pharmaceutical Sciences- idarps))
      R
      0100Updated May 3, 2025May 3, 2025
    • course_gmwm

      Public template
      📈 Source repository for the course: "Introduction to the GMWM with R" : https://gmwm.netlify.com/
      HTML
      1104Updated May 2, 2025May 2, 2025
    • gmwm

      Public
      Generalized Method of Wavelet Moments (GMWM) is an estimation technique for the parameters of time series models. It uses the wavelet variance in a moment matching approach that makes it particularly suitable for the estimation of certain state-space models.
      R
      1530710Updated Apr 25, 2025Apr 25, 2025
    • Shiny app representing the estimated velocities from GNSS position time series using the GMWMX estimator
      R
      0100Updated Mar 24, 2025Mar 24, 2025
    • 💊 Source repository for the website of the class "Modelling and Data Analysis for Pharmaceutical Science" given at Unviersity of Geneva, Spring 2022 and Spring 2023
      HTML
      1010Updated Feb 27, 2025Feb 27, 2025
    • HTML
      1000Updated Dec 6, 2024Dec 6, 2024
    • ib

      Public
      R
      0210Updated Oct 16, 2024Oct 16, 2024
    • gmwmx

      Public
      The gmwmx R package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX)
      R
      3700Updated Aug 6, 2024Aug 6, 2024
    • ODyN

      Public
      A free Dynamic Network (DN) solver that runs online in the browser. ODyN fuses information from cameras, GNSS and inertial sensors in a single adjustment and it can be used to estimate a high-frequency trajectory for precise direct geo-referencing, to improve photogrammetric reconstructions in challenging scenarios or to determine several types …
      2900Updated Jun 7, 2024Jun 7, 2024
    • JavaScript
      0000Updated Jan 17, 2024Jan 17, 2024
    • simts

      Public
      ⏳ Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.
      HTML
      71520Updated Aug 31, 2023Aug 31, 2023
    • wv

      Public
      ⏰ This R package provides the tools to perform standard and robust wavelet variance analysis for time series (signal processing). Among others, aside from computing the wavelet variance and cross-covariance (classic and robust), the package provides inference tools (e.g. confidence intervals) and plotting tools allowing to perform some visual an…
      R
      1017121Updated Aug 30, 2023Aug 30, 2023
    • swag

      Public
      swag is a R package that trains a meta-learning procedure which combines screening and wrapper methods to find a set of extremely low-dimensional attribute combinations.
      HTML
      2210Updated Aug 22, 2023Aug 22, 2023
    • test0

      Public
      R
      0000Updated Aug 22, 2023Aug 22, 2023
    • glmrob2

      Public
      R
      0000Updated Aug 22, 2023Aug 22, 2023
    • fpl

      Public
      C++
      0000Updated Aug 22, 2023Aug 22, 2023
    • 🛰 The navigation R package implements a framework to analyze the impact of sensor error modeling on performance of integrated navigation (sensor fusion) based on IMU, GPS, and barometer data.
      TeX
      0500Updated May 17, 2023May 17, 2023
    • R
      0000Updated May 15, 2023May 15, 2023
    • stocapp

      Public
      R
      0000Updated Apr 22, 2023Apr 22, 2023
    • 📊 Source repository for the course: "Introduction to Data Science" given at Unviersity of Geneva
      CSS
      10210Updated Mar 30, 2023Mar 30, 2023
    • gui4gmwm2

      Public
      R
      0000Updated Mar 7, 2023Mar 7, 2023
    • hpc_util

      Public
      R
      0000Updated Jan 30, 2023Jan 30, 2023
    • CSS
      0003Updated Jan 11, 2023Jan 11, 2023