Generalized linear mixed-effect model in Python
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Updated
Aug 17, 2018 - Jupyter Notebook
Generalized linear mixed-effect model in Python
Covers the basics of mixed models, mostly using @lme4
powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.
R package for fitting high-dimensional multivariate linear mixed effect models
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Efficient Permutation-based GWAS for Normal and Skewed Phenotypic Distributions
remef: Remove Partial Effects
Code and Tutorials for Running the MArginal ePIstasis Test (MAPIT)
iMap4 - Spatial mapping of eye movement data (e.g., fixation map) using Linear Mixed Models
The multivariate MArginal ePIstasis Test
Broken Stick Model for Irregular Longitudinal Data
Introduction to rstanarm
Julia implementation of Factored Spectrally Transformed Linear Mixed Models
R package for mixed-effects REML incorporating Generalized Inverses
Approximate Ridge Linear Mixed Models (arLMM)
Reference implementations for (generalized) linear mixed models.
Curated list of the sources about multilevel models
Matlab and shell scripts associated with the paper "Correcting datasets leads to more homogeneous early 20th century sea surface warming" by Duo Chan, Elizabeth C. Kent, David I. Berry, and Peter Huybers.
Robust estimation using heavy-tailed distributions
unfold+mixed models = unmixed | alpha version!
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