rotations

Description

Tools for working with rotational data, including simulation from the most commonly used distributions on SO(3), methods for different Bayes, mean and median type estimators for the central orientation of a sample, confidence/credible regions for the central orientation based on those estimators and a novel visualization technique for rotation data. Most recently, functions to identify potentially discordant (outlying) values have been added. References: Bingham, Melissa A. and Nordman, Dan J. and Vardeman, Steve B. (2009), Bingham, Melissa A and Vardeman, Stephen B and Nordman, Daniel J (2009), Bingham, Melissa A and Nordman, Daniel J and Vardeman, Stephen B (2010), Leon, C.A. and Masse, J.C. and Rivest, L.P. (2006), Hartley, R and Aftab, K and Trumpf, J. (2011), Stanfill, Bryan and Genschel, Ulrike and Hofmann, Heike (2013), Maonton, Jonathan (2004), Mardia, KV and Jupp, PE (2000, ISBN:9780471953333), Rancourt, D. and Rivest, L.P. and Asselin, J. (2000), Chang, Ted and Rivest, Louis-Paul (2001), Fisher, Nicholas I. (1996, ISBN:0521568900).

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installed size is 11.5Mb
  sub-directories of 1Mb or more:
    R      2.5Mb
    data   2.7Mb
    libs   5.7Mb

installed size is 11.0Mb
  sub-directories of 1Mb or more:
    R      2.1Mb
    data   2.7Mb
    libs   5.5Mb

installed size is  6.4Mb
  sub-directories of 1Mb or more:
    R      1.6Mb
    data   2.7Mb
    libs   1.4Mb

Check History

installed size is 11.5Mb
  sub-directories of 1Mb or more:
    R      2.5Mb
    data   2.7Mb
    libs   5.7Mb

installed size is 11.0Mb
  sub-directories of 1Mb or more:
    R      2.1Mb
    data   2.7Mb
    libs   5.5Mb

installed size is  6.4Mb
  sub-directories of 1Mb or more:
    R      1.6Mb
    data   2.7Mb
    libs   1.4Mb

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