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

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

Skripsi yang berjudul: Pemodelan Kerugian pada Asuransi Kendaraan Bermotor Menggunakan Generalized Linear Models dan Generalized Additive Models.

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

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"

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

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.

Fit Gamma-Poisson Generalized Linear Models Reliably

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

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

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

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.