Optimal Semi-Split-Plot Designs with R

  • Sebastian HoffmeisterEmail author
  • Andrea Geistanger
Part of the Studies in Classification, Data Analysis, and Knowledge Organization book series (STUDIES CLASS)


This paper introduces Semi-Split-Plot designs. They are a new class of experimental designs and support factors where only a reduced number of factor settings can be applied inside of one block. An algorithm to generate optimal Semi-Split-Plot designs is presented. A tutorial for the R package rospd that implements the algorithm is given. Semi-Split-Plot designs are compared to completely randomized and Split-Plot designs in terms of balance, aliasing and predictive quality.


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Roche Diagnostics GmbHPenzbergGermany

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