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
R package for fitting high-dimensional multivariate linear mixed effect models
powerlmm R package for power calculations for two- and three-level longitudinal multilevel/linear mixed models.
iMap4 - Spatial mapping of eye movement data (e.g., fixation map) using Linear Mixed Models
Julia implementation of Factored Spectrally Transformed Linear Mixed Models
remef: Remove Partial Effects
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
Introduction to rstanarm
Broken Stick Model for Irregular Longitudinal Data
Code and Tutorials for Running the MArginal ePIstasis Test (MAPIT)
Efficient Permutation-based GWAS for Normal and Skewed Phenotypic Distributions
Version controlled, editable source for the genetic group 'How To': Wolak & Reid (2017) Journal of Animal Ecology, Appendix S6
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.
Materials associated with the webinar, "Higher Learning: Hierarchical Linear Models"
This repo is for linear models and linear mixed models using Python.
SAMUEL-ROSA, A. et al. Do more detailed environmental covariates deliver more accurate soil maps? Geoderma, v. 243–244, p. 214–227, maio 2015.
unfold+mixed models = unmixed | alpha version!
R package for mixed-effects REML incorporating Generalized Inverses
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