nicholasjclark / physalia-forecasting-course

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

Date Created 2023-07-24 (about a year ago)

Commits 156 (last one 4 months ago)

Stargazers 36 (0 this week)

Watchers 2 (0 this week)

Forks 10

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RepositoryStats indexes 584,353 repositories, of these nicholasjclark/physalia-forecasting-course is ranked #532,160 (9th percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as HTML, for repositories using this language it is ranked #13,749/15,183.

nicholasjclark/physalia-forecasting-course is also tagged with popular topics, for these it's ranked: forecasting (#182/190), time-series-analysis (#136/147)

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

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updated: 2024-11-14 @ 05:08pm, id: 669962525 / R_kgDOJ-7RHQ