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assets

Large files such as pdfs, images, videos, et cetera found on

avar

:airplane: Computationally efficient implementation of the Allan variance.

blog-dal

classimu

course_data_analytics

💊 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

course_gmwm

:chart_with_upwards_trend: Source repository for the course: "Introduction to the GMWM with R" : https://gmwm.netlify.com/

course_intro_ds

:bar_chart: Source repository for the course: "Introduction to Data Science" given at Unviersity of Geneva

course_starter

datarepo

SMAC-Group Repository of R Data Packages

demo

demo_463

This demonstrates the use of github

docs

Static Documentation for R Packages

ds

:notebook: This book is currently under development and has been designed as a support for students who are following (or are interested in) courses that provide the basic knowledge to master "statistical programming" with R. Compiled textbook:

exts

Experimental Features for Time Series

fc2018

fc2018_website

forecast463

This package is created to allow students to submit their daily forecasts for the PSU STAT 463 projects.

fpl

glmrob2

gmwm

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.

gmwm2

gmwmx

The gmwmx R package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX)

gui4gmwm

gui4gmwm2

hpc_util

ib

ibpaper

This repository contains the code to replicate the numerical studies presented in the paper "A Flexible Bias Correction Method based on Inconsistent Estimators".

idarps

Package for class "Modelling and Data Analysis for Pharmaceutical Sciences" (Introduction to Data Analytics with R for Pharmaceutical Sciences- idarps))

imudata

:battery: This package is meant to serve as a data collection tool for IMU data. This data can be used as a means to assess and test methods designed to analyse IMU error signals (i.e. long and complex autocorrelated signals). An example method used for this kind of data is implemented in the GMWM R package which can also model the latent models that often characterize this data.

introds

The objective of this R package is to provide a support for the course entitled "Introduction to Data Science" given at University of Geneva. This course is intended to provide an introduction to statistical programming using the R language.