nicholasjclark/phylo_smoothing

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Created 9 months ago
Updated 9 months ago

nicholasjclark/phylo_smoothing

nicholasjclark

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mvgam

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

physalia-forecasting-course

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

MRFcov

Markov random fields with covariates

portal_VAR

R code to replicate analyses in Clark et al in review (Beyond single-species models: leveraging multispecies forecasts to navigate the dynamics of ecological predictability)

phylo_func_trends

Using phylogenetic and functional relationships to inform nonlinear trend estimates from long-term biodiversity data

ASC_talk

A talk on timeseries analysis and forecasting with the {mvgam} R 📦 for the 2023 Australian Statistical Conference

STRUCTURE.popgen

Population genetics using STRUCTURE assignment probabilities

mvforecast

Tools to fit, interrogate and forecast multivariate statistical and machine learning timeseries models

EFI_seminar

A seminar on ecological forecasting with the {mvgam} R 📦 for the Ecological Forecasting Initiative

Mediterranean-Fishes-MRF

R code to reproduce analyses in "Rapid winter warming could disrupt coastal marine fish community structure" (Clark et al, Nature Climate Change, 2020)