Ben Bolker

broom.mixed. tidy methods for mixed models in R

mixedmodels-misc. miscellaneous materials for mixed models, mostly in R

gLLMglnlmvlvMMM. a generative Large Language Model for generalized linear and nonlinear multivariate latent-variable multilevel/mixed modelling

bbmle. maximum likelihood estimation package

discretization. opinion piece on discretization and multimodel averaging in ecological statistics

morelia_2018. generalized linear/mixed models workshop, Morelia 2018

bbmisc. miscellaneous talks and small projects

glmmadmb. generalized linear mixed models with AD Model Builder

mm_iowa2024. mixed models workshop for Iowa State *Conference On Applied Statistics In Agriculture And Natural Resources*

stat4c03. generalized linear models

stat790. statistical learning at McMaster University

priors. general thoughts/advice on priors

reformulas. machinery for random effect formula processing

goettingen_2019. mixed models course, Goettingen

math1mp. materials for Math 1MP, McMaster University

stat744. topics in statistics course @ McMaster

asaglmm. materials for Alaska ASA GLMM workshop

R2admb. an R package providing an interface with AD Model Builder

nimbios_2017_summergrad. materials for NIMBIOS 2017 summer grad program

stats720. STATS 720, McMaster (Statistical Modelling)

emdbook. R package for support of Bolker 2008 Ecological Models and Data

mixstock. mixed stock analysis in R

mm_workshops. master repo for mixed model workshop material

margins. An R Port of Stata's 'margins' Command

rtmb_tips. tips for (new) RTMB users

lme4ord. Ecological mixed-effects ordination with lme4

cricketr. R code for evaluating stopping rules for cricket games

vegan. R package for community ecologists

glmm-course. Workshop exercises on regression, GLMs, mixed-effects models, and GLMMs in R

testing_bias_distribution. understanding dynamics of epidemics with biased testing

nlme. BMB's patched branch of nlme SVN

DHARMa. Diagnostics for HierArchical Regession Models

krakow_2018. stats course at Jagiellonian University, April 2018

useR-machine-learning-tutorial. useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

QMEE. test repository

rr_paper. R

bolker-labs. modified labs belonging to Bolker's Ecological Modelling and Data Analysis in R

statistical_inferences. Repository for the textbook 'Improving Your Statistical Inferences' by Daniel Lakens

multilevelTools. Tools for multilevel and mixed effects models diagnostics and effect sizes