An Implementation of Ordinal Pattern Analysis

Quantifies hypothesis to data fit for repeated measures and longitudinal data, as described by Thorngate (1987) and Grice et al., (2015) . Hypothesis and data are encoded as pairwise relative orderings which are then compared to determine the percentage of orderings in the data that are matched by the hypothesis.


opa

An R package for ordinal pattern analysis.

Installation

opa can be installed from CRAN with:

install.packages("opa")

You can install the development version of opa from GitHub with:

# install.packages("remotes")
remotes::install_github("timbeechey/opa")

Using opa

See the introductory guide for a brief demonstration of how to conduct an ordinal pattern analysis using opa.

Acknowledgements

Development of opa was supported by a Medical Research Foundation Fellowship (MRF-049-0004-F-BEEC-C0899).

Reference manual

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install.packages("opa")

0.8.3 by Timothy Beechey, 3 years ago


https://timbeechey.github.io/opa/


Report a bug at https://github.com/timbeechey/opa/issues


Browse source code at https://github.com/cran/opa


Authors: Timothy Beechey [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports Rcpp, stats, lattice

Suggests knitr, rmarkdown, tinytest

Linking to Rcpp, RcppArmadillo

System requirements: C++17


See at CRAN