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other

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{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting

jags stan rstats timeseries forecasting gaussian-process multilevel-models bayesian-statistics ecological-modelling time-series-analysis vectorautoregression dynamic-factor-models vector-autoregression multivariate-timeseries generalised-additive-models generalized-additive-models

Created 2021-10-18

662 commits to master branch, last one a day ago

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apache-2.0

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Spatiotemporal datasets collected for network science, deep learning and general machine learning research.

gcn gnn dataset pytorch deepwalk node2vec analytics benchmark time-series data-science epidemiology spatial-data deep-learning machine-learning spatial-analysis pytorch-geometric time-series-analysis spatial-data-analysis vector-autoregression

Created 2021-02-03

41 commits to main branch, last one 3 months ago

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unknown

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Time Series Forecasting for the M5 Competition

kats altair deepar gluonts prophet tsfresh hyperopt lightgbm demand-forecasting time-series-analysis vector-autoregression

Created 2021-08-04

33 commits to main branch, last one 2 years ago

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unknown

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

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

Created 2023-07-24

155 commits to main branch, last one 16 days ago