This package is used to analyse datasets of different HPO-algorithms performing on multiple benchmarks.
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Updated
Sep 10, 2024 - Jupyter Notebook
This package is used to analyse datasets of different HPO-algorithms performing on multiple benchmarks.
Mixed models analysis collaborative project: experimental design, data collection, and mixed model analysis.
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
course sub-material for Multi-level Modeling
Analysis of driver cutting behavior using lmer.
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.
Functions for using mgcv for mixed models. 📈
AirBnB, Austin City Limits, Hierarchical Models, Random Effects
R package for computing, extracting, and visualizing response-contingencies
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