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    64 repositories

    • gmwmx

      Public
      The gmwmx R package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX)
      statisticsgnssearthsciencestime-series-analysiswavelet-analysis
      R
      •
      Other
      •3•6•0•0•Updated Aug 6, 2024Aug 6, 2024

    • stat_conf_24

      Public
      Website for the Data Analytics Lab Workshop 2024 in Ovronnaz, Switzerland
      HTML
      •
      GNU General Public License v3.0
      •0•0•0•0•Updated Jun 21, 2024Jun 21, 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 …
      navigationlidarsensor-fusiongeoreferencingphotogrammetry
      2•9•0•0•Updated Jun 7, 2024Jun 7, 2024

    • idarps

      Public
      Package for class "Modelling and Data Analysis for Pharmaceutical Sciences" (Introduction to Data Analytics with R for Pharmaceutical Sciences- idarps))
      data-scienceranalyticsdataset
      R
      •0•0•0•0•Updated May 2, 2024May 2, 2024

    • r_lunch_rcpp

      Public
      JavaScript
      •0•0•0•0•Updated Jan 17, 2024Jan 17, 2024

    • ib

      Public
      R
      •0•2•1•0•Updated Jan 8, 2024Jan 8, 2024

    • 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.
      rcpptime-seriesarmadillorwavelet-variancerobust
      R
      •
      Other
      •14•28•71•0•Updated Dec 1, 2023Dec 1, 2023

    • simts

      Public
      ⏳ Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.
      rrcpptimeseriestime-seriessimulationrcpparmadillotimeseries-data
      HTML
      •
      GNU Affero General Public License v3.0
      •7•15•1•0•Updated 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…
      time-seriessignal-processingwavelet-variance
      R
      •10•16•12•1•Updated 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.
      machine-learning
      HTML
      •2•2•1•0•Updated Aug 22, 2023Aug 22, 2023

    • test0

      Public
      R
      •0•0•0•0•Updated Aug 22, 2023Aug 22, 2023

    • glmrob2

      Public
      R
      •
      Other
      •0•0•0•0•Updated Aug 22, 2023Aug 22, 2023

    • fpl

      Public
      C++
      •0•0•0•0•Updated Aug 22, 2023Aug 22, 2023

    • JINIpaper

      Public
      R
      •0•0•0•0•Updated Jun 28, 2023Jun 28, 2023

    • navigation

      Public
      🛰 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
      •0•4•0•0•Updated May 17, 2023May 17, 2023

    • navigationdata

      Public
      R
      •0•0•0•0•Updated May 15, 2023May 15, 2023

    • course_data_analytics

      Public
      💊 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
      •
      MIT License
      •0•0•1•0•Updated Apr 26, 2023Apr 26, 2023

    • stocapp

      Public
      R
      •
      Other
      •0•0•0•0•Updated Apr 22, 2023Apr 22, 2023

    • course_intro_ds

      Public
      📊 Source repository for the course: "Introduction to Data Science" given at Unviersity of Geneva
      CSS
      •
      MIT License
      •1•0•2•10•Updated Mar 30, 2023Mar 30, 2023

    • gui4gmwm2

      Public
      R
      •
      GNU General Public License v3.0
      •0•0•0•0•Updated Mar 7, 2023Mar 7, 2023

    • hpc_util

      Public
      R
      •
      Other
      •0•0•0•0•Updated Jan 30, 2023Jan 30, 2023

    • course_gmwm

      Public template
      📈 Source repository for the course: "Introduction to the GMWM with R" : https://gmwm.netlify.com/
      HTML
      •
      MIT License
      •1•1•0•4•Updated Jan 11, 2023Jan 11, 2023

    • course_starter

      Public
      CSS
      •
      MIT License
      •0•0•0•3•Updated Jan 11, 2023Jan 11, 2023

    • avar

      Public
      ✈️ Computationally efficient implementation of the Allan variance.
      statisticstime-seriesinertial-sensorsallan-variance
      R
      •2•4•4•0•Updated Jul 11, 2022Jul 11, 2022

    • IBpaper

      Public
      This repository contains the code to replicate the numerical studies presented in the paper "A Flexible Bias Correction Method based on Inconsistent Estimators".
      R
      •1•0•0•0•Updated Apr 29, 2022Apr 29, 2022

    • swag_breast_cancer

      Public
      We provide the codes necessary to replicate the findings presented in "Evidence of antagonistic predictive effects of miRNAs in breast cancer cohorts through data-driven networks" authored by Cesare Miglioli, Gaetan Bakalli, Samuel Orso, Mucyo Karemera, Roberto Molinari, Stephane Guerrier and Nabil Mili.
      breast-cancerarrayexpresscancer-progressionchameleon-micrornasregulatory-factors
      R
      •0•0•0•0•Updated Mar 8, 2022Mar 8, 2022

    • showcase_intro_ds

      Public
      HTML
      •0•0•0•0•Updated Dec 16, 2021Dec 16, 2021

    • ts

      Public
      📓 "An Introduction to Time Series Analysis with R" is a text which is currently under development and aims at giving readers a general overview of the main aspects that characterise time series and the most common tools used for their analysis.
      rstatisticstime-seriessimulations
      HTML
      •9•9•1•0•Updated Oct 1, 2021Oct 1, 2021

    • irg

      Public
      R Package for Granger-Causal Analysis of Irregularly Sampled Signals
      R
      •
      GNU Affero General Public License v3.0
      •1•1•0•0•Updated Sep 6, 2021Sep 6, 2021

    • mgmwm

      Public
      📈 📉 📈 📈 📉 Multisignal GMWM estimation and model selection for IMU
      estimationstochastic-processesinertial-sensorsmultivariate-timeseriesgmwmimu
      R
      •6•4•1•1•Updated Jul 12, 2021Jul 12, 2021