Package: phenoCDM 0.1.3

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.

Authors:Bijan Seyednasrollah, Jennifer J. Swenson, Jean-Christophe Domec, James S. Clark

phenoCDM_0.1.3.tar.gz
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phenoCDM.pdf |phenoCDM.html✨
phenoCDM/json (API)

Peer review:

Bug tracker:https://github.com/bnasr/phenocdm/issues

On CRAN:

6 exports 1 stars 0.09 score 3 dependencies 8 scripts 160 downloads

Last updated 6 years agofrom:bb6ad3eba4. Checks:OK: 7. Indexed: yes.

Exports:fitCDMgetGibbsSummaryphenoSimphenoSimPlotplotPOGibbsplotPost

Dependencies:codalatticerjags