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gtexture  

Generalized Application of Co-Occurrence Matrices and Haralick Texture
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("gtexture", "1.0.0")



Attach the package and use:
library("gtexture")
Maintained by
Rowan Barker-Clarke
[Scholar Profile | Author Map]
First Published: 2024-04-08
Latest Update: 2024-04-08
Description:
Generalizes application of gray-level co-occurrence matrix (GLCM) metrics to objects outside of images. The current focus is to apply GLCM metrics to the study of biological networks and fitness landscapes that are used in studying evolutionary medicine and biology, particularly the evolution of cancer resistance. The package was developed as part of the author's publication in Physics in Medicine and Biology Barker-Clarke et al. (2023) . A general reference to learn more about mathematical oncology can be found at Rockne et al. (2019) .
How to cite:
Rowan Barker-Clarke (2024). gtexture: Generalized Application of Co-Occurrence Matrices and Haralick Texture. R package version 1.0.0, https://cran.r-project.org/web/packages/gtexture. Accessed 17 Feb. 2025.
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Full gtexture package functions and examples
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