The 'Semiparametric regression' course at the Institute of Mathematics (University of Wrocław).
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Updated
Aug 27, 2020 - R
The 'Semiparametric regression' course at the Institute of Mathematics (University of Wrocław).
Robust estimation using heavy-tailed distributions
Official implementation of Capturing Between-Tasks Covariance and Similarities Using Multivariate Linear Mixed Models [EJS 2020]
This repository contains the code and reports for the statistical analysis of BIXI Montreal's bike-sharing system data. The analysis focuses on understanding the factors that influence trip duration, revenue, and overall usage based on the 2021 season's data.
Reference implementations for (generalized) linear mixed models.
[Done] Randomized clinical trial of Plasma solution A vs. Normal saline for fluid resuscitation in post-cardiac arrest patients
Conduct one-way and multi-way anova in Julia with MixedModels.jl
Data Analysis for "All-or-none neural mechanisms underlying visual categorisation: evidence of the N170".
[DONE] To compare responses related to sleep/feelings between the Jang Bogo station and the King Sejong station
QPCRinR is a powerful web app for the analysis of RT-qPCR data with Linear Mixed Models. It is designed for testing multiple factors and combine experiments in a simple and interactive manner.
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
Semantic model of LMM analysis
Approximate Ridge Linear Mixed Models (arLMM)
Generalized fiducial inference for linear mixed models
The multivariate MArginal ePIstasis Test
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