nicholasjclark / physalia-forecasting-course

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

Date Created 2023-07-24 (11 months ago)

Commits 155 (last one 18 days ago)

Stargazers 32 (0 this week)

Watchers 2 (0 this week)

Forks 9

License unknown

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RepositoryStats indexes 534,551 repositories, of these nicholasjclark/physalia-forecasting-course is ranked #508,920 (5th percentile) for total stargazers, and #448,591 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #13,227/13,980.

nicholasjclark/physalia-forecasting-course is also tagged with popular topics, for these it's ranked: forecasting (#168/174), time-series-analysis (#129/134)

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Homepage URL: https://nicholasjclark.github.io/physalia-forecasting-course/

All Topics

brms mgcv stan mvgam forecasting multilevel-models ecological-modelling time-series-analysis vector-autoregression generalised-linear-models generalised-additive-models generalized-additive-models

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155 commits on the default branch (main) since jan '22

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updated: 2024-06-13 @ 02:24am, id: 669962525 / R_kgDOJ-7RHQ