phenoCDM
Continuous Development Models for Incremental Time-Series Analysis
Using the Bayesian state-space approach, we developed a continuous development model to quantify dynamic incremental changes in the response variable. While the model was originally developed for daily changes in forest green-up, the model can be used to predict any similar process. The CDM can capture both timing and rate of nonlinear processes. Unlike statics methods, which aggregate variations into a single metric, our dynamic model tracks the changing impacts over time. The CDM accommodates nonlinear responses to variation in predictors, which changes throughout development.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.3 |
rolling linux/jammy R-4.5 | phenoCDM_0.1.3.tar.gz |
129.7 KiB |
0.1.3 |
rolling linux/noble R-4.5 | phenoCDM_0.1.3.tar.gz |
129.6 KiB |
0.1.3 |
rolling source/ R- | phenoCDM_0.1.3.tar.gz |
171.5 KiB |
0.1.3 |
latest linux/jammy R-4.5 | phenoCDM_0.1.3.tar.gz |
129.7 KiB |
0.1.3 |
latest linux/noble R-4.5 | phenoCDM_0.1.3.tar.gz |
129.6 KiB |
0.1.3 |
latest source/ R- | phenoCDM_0.1.3.tar.gz |
171.5 KiB |
0.1.3 |
2026-04-26 source/ R- | phenoCDM_0.1.3.tar.gz |
171.5 KiB |
0.1.3 |
2026-04-23 source/ R- | phenoCDM_0.1.3.tar.gz |
171.5 KiB |
0.1.3 |
2026-04-09 windows/windows R-4.5 | phenoCDM_0.1.3.zip |
132.5 KiB |
0.1.3 |
2025-04-20 source/ R- | phenoCDM_0.1.3.tar.gz |
171.5 KiB |