Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

Covers the basics of mixed models, mostly using @lme4

Testing differences in cell type proportions from single-cell data.

A document introducing generalized additive models.📈

An R package for extracting results from mixed models that are easy to use and viable for presentation.

👓 Functions related to R visualizations

Mixed models @lme4 + custom covariances + parameter constraints

Workshop on using Mixed Models with R

Demonstration of alternatives to lme4

Functions for using mgcv for mixed models. 📈

Illustrate CR models with individual heterogeneity (multistate, random-effect, finite-mixture)

Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage

Copula Based Bivariate Beta-Binomial Model for Diagnostic Test Accuracy Studies

Stata and R programs to automatically quasi-demean regressors following FGLS-RE or MLE-RE regression

An R package for I-prior regression

Connecting the Sustainable Development Goals with climate change and the energy transition

a meta-analysis on the effect of intravenous magnesium on myocardial infarction

Raw files for a document providing an overview of mixed models from varying perspectives.

Monte Carlo Simulation comparing the performance of various estimators for panel data with binary dependent variable models