Package: phenoCDM
Title: Continuous Development Models for Incremental Time-Series
        Analysis
Version: 0.1.3
Date: 2018-05-01
Author: Bijan Seyednasrollah, Jennifer J. Swenson, Jean-Christophe Domec, James S. Clark
Maintainer: Bijan Seyednasrollah <bijan.s.nasr@gmail.com>
Description: 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. 
Depends: R (>= 3.3.0)
Imports: rjags
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.0.1.9000
BugReports: https://github.com/bnasr/phenoCDM/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2018-05-01 23:34:01 UTC; bijan
Repository: CRAN
Date/Publication: 2018-05-02 03:45:15 UTC
Built: R 4.6.0; ; 2026-04-26 01:31:15 UTC; unix
