m-clark/gammit

Functions for using mgcv for mixed models. 📈

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automl-private/significance_analysis

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

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Zarah573/MixedModels

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

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RezaDastranj/LME-ASDRs

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

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IsidoraGataric/AdvancedStatistics_UniversityOfFrankfurt

During the winter semester 2019/2020 (November, 2019) I lectured at the course "Advanced Statistics in R" at the Goethe University Frankfurt, Germany. On this page you can find codes used for this course.

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durkeepk/sloper

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

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IsidoraGataric/VisualLexicalDecisionTask_LMER_GLMER_GAMMs

Analysis of data from the psycholinguistics experiment (visual lexical decision task) with three different ML techniques: LMER (Linear Mixed-Effect Regression), GLMER (Generalized Linear Mixed-Effect Regression) & GAMMs (Generalized Additive Mixed Modeling).

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carlacodes/ferretmixedeffectsinR

running lmer in R for ferret behavioural data

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JosephKBS/22SP_MLM

course sub-material for Multi-level Modeling

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kimaina/glm

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jeremyboyd/AP_exp1_mixed

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.

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jeremyboyd/cutting

Analysis of driver cutting behavior using lmer.

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campbell-2589/appregr

Applied Regression In R

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