worked R examples
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Updated
Jul 4, 2023 - Stan
worked R examples
GLMMs with adaptive Gaussian quadrature
Simple Mixed Effect Models and Censoring
code repository for Lagattuta et al. "Repertoire analyses reveal T cell receptor sequence features that influence T cell fate." Nat. Imm. (2022)
Steve's Miscellaneous Functions
GMPE-estimation implements a one-stage estimation algorithm to estimate ground-motion prediction equations (GMPE) with spatial correlation. It also quantifies the uncertainty of spatial correlation and intensity measure predictions.
Website for Biostat 200C (Methods in Biostatistics C)
General pipeline used for analyzing EEG data where Raw EEG data gets transformed into ERPS and Stats are done in R (Mixed effects models)
'Live fuel moisture and shoot water potential exhibit contrasting relationships with leaf-level flammability thresholds during laboratory flammability tests', by Indra Boving, Joe Celebrezze, Aaron Ramirez, Ryan Salladay, Leander Love-Anderegg and Max Moritz
Early Growth Genetics Longitudinal Analysis
Generalised Mixed Effects Model. Now any machine learning model can have random effects.
Fast cluster-based permutation test for densely-sampled, multi-level time series data
Julia package for fitting regularized linear mixed-effect models on high-dimensional omics data.
A look into at the relationship between population density in California Counties and COVID rates, for a pre-determined time period after COVID became pervasive in California.
Mixed effects models for R
Life Expectancy Prediction by Country with supervised learning, mixed effect effect modeling, and clustering.
nlme 예제 코드를 실행한 결과를 정리하였습니다. Mixed-Effects Models in S and S-PLUS https://asancpt.github.io/nlme
Power Estimation via Monte Carlo Simulation
The book "Embrace Uncertainty: Fitting Mixed-Effects Models with Julia"
Analysis of driver cutting behavior using lmer.
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