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.

Package details

AuthorBijan Seyednasrollah, Jennifer J. Swenson, Jean-Christophe Domec, James S. Clark
MaintainerBijan Seyednasrollah <[email protected]>
LicenseMIT + file LICENSE
Package repositoryView on CRAN
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phenoCDM documentation built on May 1, 2019, 9:26 p.m.