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nevada
View on CRAN: Click
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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
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.nevada . https://github.com/astamm/nevada/issues/ . https://astamm.github.io/nevada/ . https://github.com/astamm/nevada/ . nevada results . nevada.pdf . nevada_0.2.0.tar.gz . nevada_0.2.0.zip . nevada_0.2.0.zip . nevada_0.2.0.zip . nevada_0.2.0.tgz . nevada_0.2.0.tgz . nevada_0.2.0.tgz . nevada_0.2.0.tgz . nevada_0.2.0.tgz . nevada_0.2.0.tgz . nevada archive . https://CRAN.R-project.org/package=nevada .
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 02 Mar. 2025.
Previous versions and publish date:
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
Functions, R codes and Examples using
the nevada R package
Some associated functions: as_nvd . as_vertex_partition . dist_nvd . distances . edge_count_global_variables . generate_sigma_algebra . inner-products . mean.nvd . nevada-package . nvd-plot . nvd . pipe . power2 . repr_nvd . representations . sample2_sbm . samplers . statistics . subgraphs . test2_global . test2_local . var2_nvd . var_nvd .
Some associated R codes: RcppExports.R . distances.R . nevada-package.R . nvd-class.R . representations.R . samplers.R . simulations.R . statistics.R . subgraphs.R . tests.R . utils-pipe.R . utils.R . vertex_partition.R . visualizations.R . zzz.R . Full nevada package functions and examples
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