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Update URLs about flipr.
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README.Rmd

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[![CRAN status](https://www.r-pkg.org/badges/version/nevada)](https://CRAN.R-project.org/package=nevada)
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The package [**nevada**](https://astamm.github.io/nevada/) (NEtwork-VAlued Data Analysis) is an R package for the statistical analysis of network-valued data. In this setting, a sample is made of statistical units that are networks themselves. The package provides a set of matrix representations for networks so that network-valued data can be transformed into matrix-valued data. Subsequently, a number of distances between matrices is provided as well to quantify how far two networks are from each other and several test statistics are proposed for testing equality in distribution between samples of networks using exact permutation testing procedures. The permutation scheme is carried out by the [**flipr**](https://astamm.github.io/flipr/) package which also provides a number of test statistics based on inter-point distances that play nicely with network-valued data. The implementation is largely made in C++ and the matrix of inter- and intra-sample distances is pre-computed, which alleviates the computational burden often associated with permutation tests.
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The package [**nevada**](https://astamm.github.io/nevada/) (NEtwork-VAlued Data Analysis) is an R package for the statistical analysis of network-valued data. In this setting, a sample is made of statistical units that are networks themselves. The package provides a set of matrix representations for networks so that network-valued data can be transformed into matrix-valued data. Subsequently, a number of distances between matrices is provided as well to quantify how far two networks are from each other and several test statistics are proposed for testing equality in distribution between samples of networks using exact permutation testing procedures. The permutation scheme is carried out by the [**flipr**](https://lmjl-alea.github.io/flipr/) package which also provides a number of test statistics based on inter-point distances that play nicely with network-valued data. The implementation is largely made in C++ and the matrix of inter- and intra-sample distances is pre-computed, which alleviates the computational burden often associated with permutation tests.
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## Installation
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README.md

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networks are from each other and several test statistics are proposed
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for testing equality in distribution between samples of networks using
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exact permutation testing procedures. The permutation scheme is carried
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out by the [**flipr**](https://astamm.github.io/flipr/) package which
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out by the [**flipr**](https://lmjl-alea.github.io/flipr/) package which
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also provides a number of test statistics based on inter-point distances
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that play nicely with network-valued data. The implementation is largely
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made in C++ and the matrix of inter- and intra-sample distances is

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