Name: Henrik Singmann
Type: User
Company: University College London, Experimental Psychology
Bio: Associate professor in experimental psychology with strong interest in computational and statistical stuff.
Twitter: HenrikSingmann
Location: European Union
Blog: http://singmann.org/
Henrik Singmann's Projects
measures of algorithmic complexity
algorithmic complexity of short strings data computed using the coding theorem method
Analysis of Factorial EXperiments (R package)
:ghost: Utilities for analyzing Bayesian models and posterior distributions
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Cognitive Measurement Models for Categorical data
Tools to make an R developer's life easier
Estimated marginal means
Data and code used in Yarkoni (2019) -- "The Generalizability Crisis"
An implementation of the Grammar of Graphics in R
Presentations for the GLMMadaptive package
ggplot-based graphics and useful functions for GAMs fitted using the mgcv package
Files needed for Introduction to R One Day Workshop
The Mixed Models Module
Online research made easy
Mixed-effects models in R using S4 classes and methods with RcppEigen
R package for least-squares means (aka predicted marginal means)
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
Materials for my Mixed Model Workshop
Interface for Testing Model Terms via Nested Models
Analyze Multinomial Processing Tree Models