phenoCDM

Continuous Development Models for Incremental Time-Series Analysis

CRAN Package

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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Insights

Last 30 days

This package has been downloaded 193 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.

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8 downloadsDec 22, 2024
2 downloadsDec 23, 2024
6 downloadsDec 24, 2024
7 downloadsDec 25, 2024
2 downloadsDec 26, 2024
4 downloadsDec 27, 2024
2 downloadsDec 28, 2024
1 downloadsDec 29, 2024
2 downloadsDec 30, 2024
1 downloadsDec 31, 2024
15 downloadsJan 1, 2025
16 downloadsJan 2, 2025
16 downloadsJan 3, 2025
14 downloadsJan 4, 2025
5 downloadsJan 5, 2025
7 downloadsJan 6, 2025
4 downloadsJan 7, 2025
8 downloadsJan 8, 2025
3 downloadsJan 9, 2025
3 downloadsJan 10, 2025
3 downloadsJan 11, 2025
2 downloadsJan 12, 2025
8 downloadsJan 13, 2025
3 downloadsJan 14, 2025
9 downloadsJan 15, 2025
4 downloadsJan 16, 2025
6 downloadsJan 17, 2025
11 downloadsJan 18, 2025
14 downloadsJan 19, 2025
7 downloadsJan 20, 2025
0 downloadsJan 21, 2025
0 downloadsJan 22, 2025
0 downloadsJan 23, 2025
0 downloadsJan 24, 2025
0 downloadsJan 25, 2025
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The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 2,384 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jan 24, 2024 with 116 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Data provided by CRAN


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Dependencies

  • Imports1 package
  • Suggests2 packages