There are 0 repository under random-effects topic.
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
Mixed-effect model to test differences in cell type proportions from single-cell data, in R
A document introducing generalized additive models.📈
An R package for extracting results from mixed models that are easy to use and viable for presentation.
Fit hidden Markov models using Template Model Builder (TMB): flexible state-dependent distributions, transition probability structures, random effects, and smoothing splines.
Workshop on using Mixed Models with R
Demonstration of alternatives to lme4
Using Fixed Effect, Random Effect and Hausman Taylor IV to estimate the impacts on wage
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
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.
Connecting the Sustainable Development Goals with climate change and the energy transition
Content of the course "Regression and Statistical Models (52571)" at The Hebrew University of Jerusalem, in the Department of Statistics and Data Science.
Monte Carlo Simulation comparing the performance of various estimators for panel data with binary dependent variable models
Project for the 2021/22 Advanced Econometrics class at the Faculty of Economic Sciences, University of Warsaw. In this project we build FE and RE panel data models to assess the relationship between firm performance and CEO gender.
Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model
Ordinal Regression. Mixed Models. Penalized Splines. Causal Inference. Random Effects. Trabajos Prácticos de la materia Intr. al Modelado Estadístico para Ciencias de Datos. 1C2025 FCEN
The main aim of this code is to measure the co-movements along 9 different currencies.
Estimating pooled, fixed, and random effects models on S&P 500 excess returns to test Fama–French factor sensitivities across firms and sectors.
Fit band-recovery models with temporal random effects