Hierarchical generalized additive models in ecology: an introduction with mgcv

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2023 days ago
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
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2023 days ago
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
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2023 days ago
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
reply repost on X like
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
reply repost on X like
2024 days ago
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
reply repost on X like
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
reply repost on X like
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
reply repost on X like
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
reply repost on X like
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
reply repost on X like
2024 days ago
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
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2024 days ago
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
reply repost on X like
2024 days ago
RT @JezRoff: Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-line…
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2024 days ago
Three exceptional core papers outlining the theory, philosophy and fitting of generalised linear mixed effect models, non-linear mixed effects models, and general additive models: GLM's: https://t.co/Wpq1rcnexg NLME: https://t.co/hjNU8Y0STX GAMs: https://t.co/TZFlehNgDc https://t.co/zKKPQK1gi3
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2024 days ago
Here's an incredible guide on how to use generalized additive models (GAM) and the hierarchical models (HGLM) to model complex structures in ecological data https://t.co/TZFlehNgDc https://t.co/qTRkQc8bqX
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@JezRoff @DrRCWyeth My reference is this book: https://t.co/fgjf1oKaac But it does not qualify as a gentle introduction. Haven't read it but this looks great though: https://t.co/cIlRmNdxe1 Also for NLMM I have this R package: https://t.co/XChezU8ELg
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@JezRoff yep - it's killer: https://t.co/2y7vmwFuKE
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@VLucet @SandraKlemet @LeaBlondl @jenileegobin @aande763 @jamesepaterson @ucfagls @millerdl Our HGAM paper (https://t.co/nH9SgjeCpE) has also become strangely popular as an introduction to GAMs as well, and Hefley et al. (2017) and Kammann and Wand (2003) are fantastic for learning about spatial GAMs (https://t.co/LLqJpMxfBh) https://t.co/QNwl3PYpnl Are
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2040 days ago
@am_anatiala
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RT @jpshanno: For any environmental sci researchers looking to expand their analysis options, these two papers on quantile regression and g…
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2053 days ago
For any environmental sci researchers looking to expand their analysis options, these two papers on quantile regression and generalized additive models (GAMs) are awesome resources with applicable examples. I keep going back to them https://t.co/I0oH1qKxSc https://t.co/oO7WN1rxBI
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@rowenadiamond @mjw_marine @rstatstweet Strongly recommend https://t.co/DsMxnYqzI0
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@eyeballMir @munozbird @noamross This is a great paper with code and everything: https://t.co/EpdrKJ3kYy
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RT @ucfagls: If you want to fit nonlinear relationships to data where those relationships can vary by groups (eg species) then we have a pa…
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@SoleneDerville @mjw_marine @rstatstweet Thanks
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2066 days ago
RT @ucfagls: If you want to fit nonlinear relationships to data where those relationships can vary by groups (eg species) then we have a pa…
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