💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
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Updated
Jul 11, 2024 - R
💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
This packege made foe bioequivalence testing.
Solves kernel ridge regression within the the mixed model framework. All the estimated components and parameters, e.g. BLUP of dual variables and BLUP of random predictor effects for the linear kernel (also known as RR-BLUP), are available.
An introduction to the MixedModels.jl ecosystem in Julia
SMLP2024: Advanced methods in frequentist statistics with Julia
The book "Embrace Uncertainty: Fitting Mixed-Effects Models with Julia"
RCall support for MixedModels.jl and lme4
asremlPlus is an R package that augments the use of 'ASReml-R' and 'ASReml4-R' in fitting mixed models
A Julia package for fitting (statistical) mixed-effects models
An R data package for the book "Applied longitudinal data analysis: Modeling change and event occurrence" by Singer and Willett (2003).
Extended Joint Models for Longitudinal and Survival Data
Moral Anger and Disgust: Recipient vs. Initiator Focus in Moral Transgressions
GLMMs with adaptive Gaussian quadrature
Characterize gene dynamics over trajectories using GLMs, GEEs, & GLMMs.
CRAN Task View: Mixed, Multilevel, and Hierarchical Models in R
Generalised joint models of survival and multivariate longitudinal data
Plotting functionality for MixedModels.jl implemented in Makie
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