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:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Created
2019-02-10
2,359 commits to main branch, last one 3 days ago
A Julia package for fitting (statistical) mixed-effects models
Created
2013-03-29
1,134 commits to main branch, last one 22 days ago
All the convenience of lme4 in python
Created
2017-05-08
336 commits to master branch, last one 15 days ago
Effect size measures and significance tests
Created
2016-05-20
869 commits to master branch, last one 5 months ago
An R package for experimental psychologists
Created
2017-07-26
426 commits to master branch, last one 3 years ago
Covers the basics of mixed models, mostly using @lme4
Created
2017-04-24
165 commits to master branch, last one 2 years ago
Extended Joint Models for Longitudinal and Survival Data
Created
2019-09-11
1,058 commits to master branch, last one 3 months ago
Material for a workshop on Bayesian stats with R
Created
2021-03-03
53 commits to master branch, last one 20 days ago
An R package for extracting results from mixed models that are easy to use and viable for presentation.
Created
2019-10-28
229 commits to master branch, last one 2 years ago
By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.
pca
rkhs
lasso
splines
bayesian
cox-model
algorithms
mixed-models
zero-inflated
neural-network
gradient-descent
machine-learning
ridge-regression
linear-regression
gaussian-processes
logistic-regression
penalized-regression
hamiltonian-monte-carlo
expectation-maximization
maximum-likelihood-estimation
Created
2020-11-01
95 commits to main branch, last one 3 years ago
GLMMs with adaptive Gaussian quadrature
Created
2018-05-28
334 commits to master branch, last one 4 months ago
Formulas for mixed-effects models in Python
Created
2020-12-18
234 commits to master branch, last one about a month ago
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
Created
2019-12-23
1,006 commits to main branch, last one a day ago