Covers the basics of mixed models, mostly using @lme4
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Updated
Jan 30, 2022 - R
Covers the basics of mixed models, mostly using @lme4
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
remef: Remove Partial Effects
The multivariate MArginal ePIstasis Test
Broken Stick Model for Irregular Longitudinal Data
R package for mixed-effects REML incorporating Generalized Inverses
SAMUEL-ROSA, A. et al. Do more detailed environmental covariates deliver more accurate soil maps? Geoderma, v. 243–244, p. 214–227, maio 2015.
Materials associated with the webinar, "Higher Learning: Hierarchical Linear Models"
Semantic model of LMM analysis
Analyses for the BEAM study on the effect of butyrate on blood pressure
The 'Semiparametric regression' course at the Institute of Mathematics (University of Wrocław).
[Done] Randomized clinical trial of Plasma solution A vs. Normal saline for fluid resuscitation in post-cardiac arrest patients
Psychometric evaluation of a gamified neuropsychological test
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.
[DONE] To compare responses related to sleep/feelings between the Jang Bogo station and the King Sejong station
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