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phenoCDM

Continuous Development Models for Incremental Time-Series Analysis

v0.1.3 · May 1, 2018 · MIT + file LICENSE

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.

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Maintainer: ‘Bijan Seyednasrollah <bijan.s.nasr@gmail.com>’

No Authors@R field in DESCRIPTION.
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  Authors@R: c(person(given = "Bijan",
                      family = "Seyednasrollah",
                      role = c("aut", "cre"),
                      email = "bijan.s.nasr@gmail.com"),
               person(given = c("Jennifer", "J."),
                      family = "Swenson",
                      role = "aut"),
               person(given = "Jean-Christophe",
                      family = "Domec",
                      role = "aut"),
               person(given = c("James", "S."),
                      family = "Clark",
                      role = "aut"))
as necessary.

Package CITATION file contains call(s) to old-style citEntry().  Please
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CRAN incoming feasibility

Maintainer: ‘Bijan Seyednasrollah <bijan.s.nasr@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Bijan",
                      family = "Seyednasrollah",
                      role = c("aut", "cre"),
                      email = "bijan.s.nasr@gmail.com"),
               person(given = c("Jennifer", "J."),
                      family = "Swenson",
                      role = "aut"),
               person(given = "Jean-Christophe",
                      family = "Domec",
                      role = "aut"),
               person(given = c("James", "S."),
                      family = "Clark",
                      role = "aut"))
as necessary.

Package CITATION file contains call(s) to old-style citEntry().  Please
use bibentry() instead.
OK r-devel-linux-x86_64-fedora-clang

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LazyData

  'LazyData' is specified without a 'data' directory
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LazyData

  'LazyData' is specified without a 'data' directory
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NOTE 9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Bijan Seyednasrollah <bijan.s.nasr@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Bijan",
                      family = "Seyednasrollah",
                      role = c("aut", "cre"),
                      email = "bijan.s.nasr@gmail.com"),
               person(given = c("Jennifer", "J."),
                      family = "Swenson",
                      role = "aut"),
               person(given = "Jean-Christophe",
        
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Bijan Seyednasrollah <bijan.s.nasr@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Bijan",
                      family = "Seyednasrollah",
                      role = c("aut", "cre"),
                      email = "bijan.s.nasr@gmail.com"),
               person(given = c("Jennifer", "J."),
                      family = "Swenson",
                      role = "aut"),
               person(given = "Jean-Christophe",
        
NOTE r-oldrel-macos-arm64

LazyData

  'LazyData' is specified without a 'data' directory
NOTE r-oldrel-macos-x86_64

LazyData

  'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

  'LazyData' is specified without a 'data' directory

Dependency Network

Dependencies Reverse dependencies rjags phenoCDM

Version History

new 0.1.3 Mar 9, 2026