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

Evidence synthesis of proportions

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

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

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

An R package for I-prior regression

Age-Gender-Country-Specific Death Rates Modelling and Forecasting: A Linear Mixed-Effects Model

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.

A document introducing generalized additive models.📈

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

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

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

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

Covers the basics of mixed models, mostly using @lme4

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

Mixed models @lme4 + custom covariances + parameter constraints

👓 Functions related to R visualizations

Functions for using mgcv for mixed models. 📈

Fit band-recovery models with temporal random effects