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
RoxygenNote: 6.0.1.9000
BugReports: https://github.com/bnasr/phenoCDM/issues
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-10-18 06:39:41 UTC; root
Config/pak/sysreqs: jags
Repository: https://bbcrown.r-universe.dev
Date/Publication: 2018-05-02 02:45:15 UTC
RemoteUrl: https://github.com/cran/phenoCDM
RemoteRef: HEAD
RemoteSha: bb6ad3eba4afd33623b2091f3d256bdc98784ebf