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:
phenoCDM_0.1.3.tar.gz
phenoCDM_0.1.3.tar.gz(r-4.7-any)phenoCDM_0.1.3.tar.gz(r-4.6-any)
phenoCDM_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
phenoCDM/json (API)
| # Install 'phenoCDM' in R: |
| install.packages('phenoCDM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bnasr/phenocdm/issues
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
- c++– GNU Standard C++ Library v3
Last updated from:bb6ad3eba4. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 118 | ||
| source / vignettes | OK | 157 | ||
| linux-release-x86_64 | OK | 124 | ||
| wasm-release | OK | 109 |
Exports:fitCDMgetGibbsSummaryphenoSimphenoSimPlotplotPOGibbsplotPost
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fit a CDM Model | fitCDM |
| Summarize Output of the CDM Model | getGibbsSummary |
| Simulate Green-up Phenology Data | phenoSim |
| Plot Simulated Phenology Data | phenoSimPlot |
| Plot Observed vs Predicted | plotPOGibbs |
| Plot Posterior Distributions | plotPost |
