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gmwmx2
Publicib
Publicgmwmx
PublicThe gmwmx R package implements the Generalized Method of Wavelet Moments with Exogenous Inputs estimator (GMWMX)stat_conf_24
PublicODyN
PublicA 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 …idarps
Publicr_lunch_rcpp
Publicgmwm
PublicGeneralized 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.simts
Public⏳ Time Series Tools R package provides a series of tools to simulate, plot, estimate, select and forecast different time series models.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…swag
Publicswag 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.test0
Publicglmrob2
Publicfpl
PublicJINIpaper
Publicnavigation
Publicnavigationdata
Publiccourse_data_analytics
Publicstocapp
Publiccourse_intro_ds
Publicgui4gmwm2
Publichpc_util
Publiccourse_gmwm
Public template📈 Source repository for the course: "Introduction to the GMWM with R" : https://gmwm.netlify.com/course_starter
Publicavar
Public✈️ Computationally efficient implementation of the Allan variance.IBpaper
Publicswag_breast_cancer
PublicWe 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.showcase_intro_ds
Publicts
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.irg
Public