Package: mop 0.1.2
mop: Mobility Oriented-Parity Metric
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) <doi:10.1016/j.ecolmodel.2013.04.011>, and expanded to obtain more detailed results that aid in interpretation.
Authors:
mop_0.1.2.tar.gz
mop_0.1.2.zip(r-4.5)mop_0.1.2.zip(r-4.4)mop_0.1.2.zip(r-4.3)
mop_0.1.2.tgz(r-4.4-x86_64)mop_0.1.2.tgz(r-4.4-arm64)mop_0.1.2.tgz(r-4.3-x86_64)mop_0.1.2.tgz(r-4.3-arm64)
mop_0.1.2.tar.gz(r-4.5-noble)mop_0.1.2.tar.gz(r-4.4-noble)
mop_0.1.2.tgz(r-4.4-emscripten)mop_0.1.2.tgz(r-4.3-emscripten)
mop.pdf |mop.html✨
mop/json (API)
NEWS
| # Install 'mop' in R: |
| install.packages('mop', repos = c('https://marlonecobos.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/marlonecobos/mop/issues
- matrix_of_interest - Example of matrix with variables in a set of interest
- reference_matrix - Example of matrix with variables in a set of reference
Last updated 6 months agofrom:c46acca7bd. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 03 2024 |
| R-4.5-win-x86_64 | OK | Nov 03 2024 |
| R-4.5-linux-x86_64 | OK | Nov 03 2024 |
| R-4.4-win-x86_64 | OK | Nov 03 2024 |
| R-4.4-mac-x86_64 | OK | Nov 03 2024 |
| R-4.4-mac-aarch64 | OK | Nov 03 2024 |
| R-4.3-win-x86_64 | OK | Nov 03 2024 |
| R-4.3-mac-x86_64 | OK | Nov 03 2024 |
| R-4.3-mac-aarch64 | OK | Nov 03 2024 |
Exports:match_na_rastermopmop_distancenew_mop_resultsout_range
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| mop: Mobility Oriented-Parity Metric | mop-package |
| Example of variables for a set of interest | layers_of_interest |
| Match NA cells for all layers in SpatRaster | match_na_raster |
| Example of matrix with variables in a set of interest | matrix_of_interest |
| Analysis of extrapolation risks using the MOP metric | mop |
| MOP distance calculation | mop_distance |
| Constructor of S3 objects of class mop_results | mop_results new_mop_results |
| Detect values outside ranges of reference conditions | out_range |
| Print a short version of elements in mop objects | print print,mop_results print.mop_results |
| Example of variables for a set of reference | reference_layers |
| Example of matrix with variables in a set of reference | reference_matrix |
| Summary of attributes and results | summary summary,mop_results summary.mop_results |
