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opa
View on CRAN: Click
here
Download and install opa package within the R console
Install from CRAN:
install.packages("opa")
Install from Github:
library("remotes")
install_github("cran/opa") Install by package version:
library("remotes")
install_version("opa", "0.8.3") Attach the package and use:
library("opa")
Maintained by
Timothy Beechey
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-24
Latest Update: 2024-03-11
Description:
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.
How to cite:
Timothy Beechey (2022). opa: An Implementation of Ordinal Pattern Analysis. R package version 0.8.3, https://cran.r-project.org/web/packages/opa. Accessed 07 Jun. 2026.
Previous versions and publish date:
0.1.0 (2022-02-24 09:30), 0.2.0 (2022-03-01 16:30), 0.3.6 (2022-04-05 11:40), 0.4.1 (2022-06-18 00:00), 0.4.3 (2022-07-11 17:30), 0.5.2 (2022-08-07 16:30), 0.5.3 (2022-09-29 23:30), 0.6 (2023-01-06 21:20), 0.7.1 (2023-02-04 00:22), 0.7.3 (2023-02-11 14:20), 0.7.4 (2023-02-17 23:10), 0.8.1 (2023-05-03 23:10), 0.8.2 (2024-02-16 13:30)
Other packages that cited opa R package
View opa citation profile
Other R packages that opa depends,
imports, suggests or enhances
Complete documentation for opa
Functions, R codes and Examples using
the opa R package
Some associated functions: compare_conditions . compare_groups . compare_hypotheses . cval_plot . group_results . individual_results . opa . pcc_plot . plot.opafit . plot_hypothesis . print.opafit . print.pairwiseopafit . summary.opafit .
Some associated R codes: RcppExports.R . compare_pccs.R . condition_comparison.R . fitopa.R . opa-package.R . utility.R . Full opa package functions and examples
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