Functions for using mgcv for mixed models. 📈

Applied Regression In R

Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model

R package for computing, extracting, and visualizing response-contingencies

This code fits a series of logit mixed models to data from Boyd and Goldberg (2011), Experiment 1. All models specify the maximal random effects structure, as advocated by Barr et al. (2013). All results from Boyd and Goldberg are replicated.

running lmer in R for ferret behavioural data

Analysis of driver cutting behavior using lmer.

course sub-material for Multi-level Modeling

AirBnB, Austin City Limits, Hierarchical Models, Random Effects

Mixed models analysis collaborative project: experimental design, data collection, and mixed model analysis.

This package is used to analyse datasets of different HPO-algorithms performing on multiple benchmarks.