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mop  

Mobility Oriented-Parity Metric
View on CRAN: Click here


Download and install mop package within the R console
Install from CRAN:
install.packages("mop")

Install from Github:
library("remotes")
install_github("cran/mop")

Install by package version:
library("remotes")
install_version("mop", "0.1.4")



Attach the package and use:
library("mop")
Maintained by
Marlon E. Cobos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-12
Latest Update: 2025-04-24
Description:
A set of tools to perform multiple versions of the Mobility Oriented-Parity metric. This multivariate analysis helps to characterize levels of dissimilarity between a set of conditions of reference and another set of conditions of interest. If predictive models are transferred to conditions different from those over which models were calibrated (trained), this metric helps to identify transfer conditions that differ substantially from those of calibration. These tools are implemented following principles proposed in Owens et al. (2013) , and expanded to obtain more detailed results that aid in interpretation.
How to cite:
Marlon E. Cobos (2023). mop: Mobility Oriented-Parity Metric. R package version 0.1.4, https://cran.r-project.org/web/packages/mop. Accessed 04 Nov. 2026.
Previous versions and publish date:
(2026-07-09 06:32), 0.1.1 (2023-06-12 11:50), 0.1.2 (2024-03-28 11:20), 0.1.3 (2025-04-24 13:40)
Other packages that cited mop R package
View mop citation profile
Other R packages that mop depends, imports, suggests or enhances
Complete documentation for mop
Functions, R codes and Examples using the mop R package
Some associated functions: layers_of_interest . match_na_raster . matrix_of_interest . mop . mop_distance . mop_package . mop_results . out_range . print . reference_layers . reference_matrix . summary . 
Some associated R codes: RcppExports.R . classes.R . data_doc.R . globals.R . helpers.R . methods.R . mop.R . mop_distance.R . mop_doc.R . out_range.R .  Full mop package functions and examples
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