ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
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Updated
Jun 25, 2024 - R
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
Testing differences in cell type proportions from single-cell data.
Evidence synthesis of proportions
Stata and R programs to automatically quasi-demean regressors following FGLS-RE or MLE-RE regression
An R package for I-prior regression
Comparative Social Research with Multi-level Modelling in R
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. 📈
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