An R Port of Stata's 'margins' Command
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Updated
Apr 27, 2024 - R
An R Port of Stata's 'margins' Command
A unified framework for data analysis with GLM/GLMM in R
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
Faster, better, smarter ecological niche modeling and species distribution modeling
Fit Gamma-Poisson Generalized Linear Models Reliably
Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction
Estimating Smooth Distributions from Coarsely Binned Data - R Package
NPDR: Nearest-neighbor Projected-Distance Regression with the generalized linear model
Efficient Fitting of Linear and Generalized Linear Models by using just base R. The speed gains over lm and glm are obtained by reducing the NxP model matrix to a PxP matrix, and the best computational performance is obtained when R is linked against OpenBLAS, Intel MKL or other optimized BLAS library.
Joint Analysis and Imputation of generalized linear models and linear mixed models with missing values
R package for modeling bumblebee colony growth.
My scripts from BL5233 lectures and practicals.
Machine Learning and Deep Learning Course
prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.
Core Functionality for Simulating Quantities of Interest from Generalised Linear Models
An R package for the Latent Environmental & Genetic InTeraction (LEGIT) model
Built a Price Prediction Model for Seattle's Airbnb dataset
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