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mhahsler committed May 5, 2024
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2 changes: 1 addition & 1 deletion README.Rmd
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Expand Up @@ -6,7 +6,7 @@ output: github_document
pkg <- 'seriation'
source("https://raw.githubusercontent.com/mhahsler/pkg_helpers/main/pkg_helpers.R")
pkg_title(pkg)
pkg_title(pkg, anaconda = "r-seriation", stackoverflow = "seriation+r")
```

## Introduction
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15 changes: 9 additions & 6 deletions README.md
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# <img src="man/figures/logo.svg" align="right" height="139" /> R package seriation - Infrastructure for Ordering Objects Using Seriation

[![CRAN
version](http://www.r-pkg.org/badges/version/seriation)](https://CRAN.R-project.org/package=seriation)
[![stream r-universe
[![r-universe
status](https://mhahsler.r-universe.dev/badges/seriation)](https://mhahsler.r-universe.dev/seriation)
[![Package on
CRAN](http://www.r-pkg.org/badges/version/seriation)](https://CRAN.R-project.org/package=seriation)
[![CRAN RStudio mirror
downloads](http://cranlogs.r-pkg.org/badges/seriation)](https://CRAN.R-project.org/package=seriation)
[![Anaconda.org](https://anaconda.org/conda-forge/r-seriation/badges/version.svg)](https://anaconda.org/conda-forge/r-seriation)
[![StackOverflow](https://img.shields.io/badge/stackoverflow-seriation+r-orange.svg)](https://stackoverflow.com/questions/tagged/seriation+r)

## Introduction

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[DendSer](https://CRAN.R-project.org/package=DendSer),
[dendsort](https://CRAN.R-project.org/package=dendsort),
[disclapmix](https://CRAN.R-project.org/package=disclapmix),
[elaborator](https://CRAN.R-project.org/package=elaborator),
[flexclust](https://CRAN.R-project.org/package=flexclust),
[ggraph](https://CRAN.R-project.org/package=ggraph),
[heatmaply](https://CRAN.R-project.org/package=heatmaply),
[MEDseq](https://CRAN.R-project.org/package=MEDseq),
[ockc](https://CRAN.R-project.org/package=ockc),
[pergola](https://CRAN.R-project.org/package=pergola),
[protti](https://CRAN.R-project.org/package=protti),
[RMaCzek](https://CRAN.R-project.org/package=RMaCzek),
[SFS](https://CRAN.R-project.org/package=SFS),
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represent cost. See the manual page for details.

``` r
rbind(alphabetical = criterion(d), seriated = criterion(d, order))
rbind(
alphabetical = criterion(d),
seriated = criterion(d, order)
)
```

## 2SUM AR_deviations AR_events BAR Gradient_raw Gradient_weighted
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