Fit Gamma-Poisson Generalized Linear Models Reliably

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

A tool for visualizing the coefficients of various regression models, taking into account empirical data distributions.

A unified framework for data analysis with GLM/GLMM in R

Sintaks yang digunakan pada skripsi yang berjudul Pemodelan Kerugian pada Asuransi Kendaraan Bermotor Menggunakan Generalized Linear Models dan Generalized Additive Models.

Bayesian version of the R package influ (https://github.com/trophia/influ) for use with brms models

Simulation for "Method-of-Moments Inference for GLMs and Doubly Robust Functionals under Proportional Asymptotics"

R package that provides estimation methods for Gravity Models

R Codes and Datasets for Generalized Linear Mixed Models: Modern Concepts, Methods and Applications by Walter W. Stroup

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Proyecto de tesis para título profesional: "Evaluación de impacto del programa Juntos sobre nutrición infantil: una estimación con modelos de regresión de diferencias en diferencias escalonadas"

An R Port of Stata's 'margins' Command

mlim: single and multiple imputation with automated machine learning

See pacha.dev/capybara for a much better GLM implementation. Efficient Fitting of Linear and Generalized Linear Models by using just base R.

solving problems with data analysis, hypotheses and the most used statistical tests in ecology

Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values

This repository contains analysis code from my graduate school work.

Work on combining Logit model with an information granulation method for better interpretability

Expand broom::tidy() output for categorical parameter estimates

Estimating Smooth Distributions from Coarsely Binned Data - R Package