random-effects

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

Covers the basics of mixed models, mostly using @lme4

👓 Functions related to R visualizations

Mixed models @lme4 + custom covariances + parameter constraints

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

Workshop on using Mixed Models with R

Demonstration of alternatives to lme4

Functions for using mgcv for mixed models. 📈

An R package for I-prior regression

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

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.

Cluster-specific logistic regression models for whether an NBA team will make the playoffs given the current statistics of that team. Specifically uses population averaged models (PA) based on generalized estimating equations (GEE); Also, uses cluster-specific (each team) random effects models

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

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

Fit band-recovery models with temporal random effects

Pitch Adjusted Swipe Rate Above Average (pSRAA)

The main aim of this code is to measure the co-movements along 9 different currencies.