Other packages > Find by keyword >

nevada  

Network-Valued Data Analysis
View on CRAN: Click here


Download and install nevada package within the R console
Install from CRAN:
install.packages("nevada")

Install from Github:
library("remotes")
install_github("cran/nevada")

Install by package version:
library("remotes")
install_version("nevada", "0.2.0")



Attach the package and use:
library("nevada")
Maintained by
Aymeric Stamm
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-09-25
Latest Update: 2023-09-03
Description:
A flexible statistical framework for network-valued data analysis. It leverages the complexity of the space of distributions on graphs by using the permutation framework for inference as implemented in the 'flipr' package. Currently, only the two-sample testing problem is covered and generalization to k samples and regression will be added in the future as well. It is a 4-step procedure where the user chooses a suitable representation of the networks, a suitable metric to embed the representation into a metric space, one or more test statistics to target specific aspects of the distributions to be compared and a formula to compute the permutation p-value. Two types of inference are provided: a global test answering whether there is a difference between the distributions that generated the two samples and a local test for localizing differences on the network structure. The latter is assumed to be shared by all networks of both samples. References: Lovato, I., Pini, A., Stamm, A., Vantini, S. (2020) "Model-free two-sample test for network-valued data" ; Lovato, I., Pini, A., Stamm, A., Taquet, M., Vantini, S. (2021) "Multiscale null hypothesis testing for network-valued data: Analysis of brain networks of patients with autism" .
How to cite:
Aymeric Stamm (2021). nevada: Network-Valued Data Analysis. R package version 0.2.0, https://cran.r-project.org/web/packages/nevada. Accessed 07 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:24), 0.1.0 (2021-09-25 08:40)
Other packages that cited nevada R package
View nevada citation profile
Other R packages that nevada depends, imports, suggests or enhances
Complete documentation for nevada
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

plaqr  
Partially Linear Additive Quantile Regression
Estimation, prediction, thresholding, transformation, and plotting for partially linear additive qua ...
Download / Learn more Package Citations See dependency  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA