gaussratiovegind
Distribution of Gaussian Ratios
It is well known that the distribution of a Gaussian ratio does not follow a Gaussian distribution. The lack of awareness among users of vegetation indices about this non-Gaussian nature could lead to incorrect statistical modeling and interpretation. This package provides tools to accurately handle and analyse such ratios: density function, parameter estimation, simulation. An example on the study of chlorophyll fluorescence can be found in A. El Ghaziri et al. (2023) <doi:10.3390/rs15020528> and another method for parameter estimation is given in Bouhlel et al. (2023) <doi:10.23919/EUSIPCO58844.2023.10290111>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
3.0.0 |
rolling source/ R- | gaussratiovegind_3.0.0.tar.gz |
23.8 KiB |
3.0.0 |
rolling linux/jammy R-4.5 | gaussratiovegind_3.0.0.tar.gz |
70.5 KiB |
3.0.0 |
latest source/ R- | gaussratiovegind_3.0.0.tar.gz |
23.8 KiB |
3.0.0 |
latest linux/jammy R-4.5 | gaussratiovegind_3.0.0.tar.gz |
70.5 KiB |
3.0.0 |
2026-04-23 source/ R- | gaussratiovegind_3.0.0.tar.gz |
23.8 KiB |
3.0.0 |
2026-04-09 windows/windows R-4.5 | gaussratiovegind_3.0.0.zip |
74.4 KiB |
1.0.1 |
2025-04-20 source/ R- | gaussratiovegind_1.0.1.tar.gz |
12.6 KiB |