Snha package

R package which implements the St. Nicolas House Algorithm (SNHA) for constructing networks of correlated variables using a ranking of the pairwise correlation values. The package contains the R code for the papers:

For an implementation of the algorithm in Python look here



Thereafter you can check the installation like this:


Which should display something like this:

> citation("snha")
To cite package 'snha' in publications use:

> citation("snha")

To cite package ‘snha’ in publications use:

  Detlef Groth, University of Potsdam (2023). snha: St.
  Nicolas House Algorithm for R. R package version 0.1.



The package has a function snha where you give your data as input. The function creates an object of class snha which you can plot and explore easily. Here an example just using the swiss data which are part of every R installation:

> library(snha)
> library(MASS)
> data(swiss)
> colnames(swiss)=abbreviate(swiss)
> as=snha(swiss,method="spearman")
> plot(as)
> plot(as,layout="sam",vertex.size=8)
> ls(as)
[1] "alpha"         "chains"        "data"          "method"
[5] "p.values"      "probabilities" "sigma"         "theta"
[9] "threshold"
> as$theta
     Frtl Agrc Exmn Edct Cthl In.M
Frtl    0    0    1    0    0    1
Agrc    0    0    0    1    0    0
Exmn    1    0    0    1    1    0
Edct    0    1    1    0    0    0
Cthl    0    0    1    0    0    0
In.M    1    0    0    0    0    0

The theta object contains the adjacency matrix with the edges for the found graph. For more details consult the package vignette: vignette(package="snha","tutorial") or the manual package of the package ?snha or ?'snha-package'.

Author: Detlef Groth, University of Potsdam, Germany

License: MIT License see the file LICENSE for details.

Bug reporting

In case of bugs and suggestions, use the issues link on top.