To cite the snha package in publications, please use:

Groth D (2023). snha: Package for creating correlation networks using the St. Nicolas House Algorithm.. University of Potsdam, Potsdam, Germany. R package version 0.1.3, https://github.com/mittelmark/snha.

Groth, D., Scheffler, C., Hermanussen, M. (2019). “Body height in stunted Indonesian children depends directly on parental education and not via a nutrition mediated pathway-Evidence from tracing association chains by St. Nicolas House Analysis.” Anthropologischer Anzeiger, 445–451. doi:10.1127/anthranz/2019/1027.

Hermanussen, M., Aßmann, C., Groth &, D. (2021). “Chain Reversion for Detecting Associations in Interacting Variables - St. Nicolas House Analysis.” International journal of environmental research and public health, 18(4), 1741.

Corresponding BibTeX entries:

  @Manual{,
    title = {{snha}: {P}ackage for creating correlation networks using
      the St. Nicolas House Algorithm.},
    author = {Detlef Groth},
    organization = {University of Potsdam},
    address = {Potsdam, Germany},
    note = {R package version 0.1.3},
    year = {2023},
    url = {https://github.com/mittelmark/snha},
  }
  @Article{,
    title = {{B}ody height in stunted {I}ndonesian children depends
      directly on parental education and not via a nutrition mediated
      pathway-Evidence from tracing association chains by {S}t.
      {N}icolas {H}ouse {A}nalysis.},
    author = {{Groth} and {D.} and {Scheffler} and {C.} and
      {Hermanussen} and {M.}},
    year = {2019},
    journal = {Anthropologischer Anzeiger},
    volumne = {76(5)},
    pages = {445--451},
    doi = {10.1127/anthranz/2019/1027},
  }
  @Article{,
    title = {{C}hain {R}eversion for {D}etecting {A}ssociations in
      {I}nteracting {V}ariables - {S}t. {N}icolas {H}ouse {A}nalysis.},
    author = {{Hermanussen} and {M.} and {Aßmann} and {C.} and & Groth
      and {D.}},
    year = {2021},
    journal = {International journal of environmental research and
      public health},
    volume = {18(4)},
    pages = {1741},
  }