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Pakillo / LM-GLM-GLMM-intro

A unified framework for data analysis with GLM/GLMM in R
http://pakillo.github.io/LM-GLM-GLMM-intro/
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Other resources #4

Open Pakillo opened 7 years ago

Pakillo commented 7 years ago
Pakillo commented 7 years ago

Interactive Visualising mixed effect models (random intercepts, slopes) http://mfviz.com/hierarchical-models/

Pakillo commented 5 years ago
Pakillo commented 5 years ago

How changing point values changes estimated model: https://github.com/Timag/DraggableRegressionPoints

Pakillo commented 4 years ago

Elementary Statistical Modeling forApplied Biostatistics

https://www.middleprofessor.com/files/applied-biostatistics_bookdown/_book/Walker-elementary-statistical-modeling-draft.pdf https://www.middleprofessor.com/files/applied-biostatistics_bookdown/_book/index.html

Pakillo commented 4 years ago

Great advice for teaching statistics: https://github.com/mine-cetinkaya-rundel/preparing-to-teach

Pakillo commented 4 years ago

O. Gimenez Master course https://github.com/oliviergimenez/statistics-for-ecologists-Master-courses

Pakillo commented 3 years ago

Carsten Dormann's book: Environmental Data Analysis https://www.springer.com/gp/book/9783030550196

Pakillo commented 3 years ago

Nice book (with R companion) from R. Poldrack https://statsthinking21.org/

Pakillo commented 3 years ago

Fantastic book covering GLM & GLMM: https://bookdown.org/roback/bookdown-BeyondMLR/

Pakillo commented 3 years ago

Another book: https://bookdown.org/egarpor/PM-UC3M/

Pakillo commented 3 years ago

Intro to Modern Statistics book https://github.com/OpenIntroStat/ims

Pakillo commented 3 years ago

These workshops are very good: https://github.com/QCBSRworkshops/workshop04 https://github.com/QCBSRworkshops/workshop06 https://github.com/QCBSRworkshops/workshop07

Pakillo commented 3 years ago

OpenIntro stats: https://www.openintro.org/

Pakillo commented 3 years ago

shiny apps: https://github.com/EducationShinyAppTeam/BOAST https://github.com/gastonstat/shiny-introstats https://github.com/rsquaredacademy/xplorerr https://github.com/jodeleeuw/shiny-stats

Pakillo commented 2 years ago

https://github.com/squid-group/squid

Pakillo commented 2 years ago

David Warton's book: https://link.springer.com/book/10.1007/978-3-030-88443-7

Pakillo commented 2 years ago

A guide to modeling outcomes that have lots of zeros with Bayesian hurdle lognormal and hurdle Gaussian regression models https://www.andrewheiss.com/blog/2022/05/09/hurdle-lognormal-gaussian-brms/

Pakillo commented 2 years ago

A guide to figuring out what the heck marginal effects, marginal slopes, average marginal effects, marginal effects at the mean, and all these other marginal things are https://www.andrewheiss.com/blog/2022/05/20/marginalia/

Pakillo commented 1 year ago

Interactive tutorials https://mlu-explain.github.io/

Pakillo commented 1 year ago

Great GLM explanations here https://argoshare.is.ed.ac.uk/healthyr_book/

Pakillo commented 6 months ago

Bert van der Veen's GLM workshop https://github.com/R-tutorials/GLM-workshop

Pakillo commented 6 months ago

Models demystified book (Michael Clark): https://m-clark.github.io/book-of-models/

Pakillo commented 2 months ago

Learn multilevel models https://www.learn-mlms.com/