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Hi there, Iā€™m Lincoln šŸ‘‹

Iā€™m a Cognitive Scientist based at the University of Sussex where I teach research methods, statistics, and R.

Languages and Tools

HTML5 Visual Studio Code HTML5 JavaScript HTML5 HTML5 HTML5 Git GitHub Node.js SQL Raspberry PI Ruby Go Rust React



Find me on

Google Scholar twitter orcid osf

Some things I've built

If you're interested in doing Bayesian statistics then check out the bayesplay R package and the bayesplay webapp

My blog

I also have a blog about programming, statistics, and cognitive science. You can read it at blog.colling.net.nz

Lincoln Colling's Projects

adata icon adata

R package for Psychology@Sussex

advr1 icon advr1

Advanced R 1-day course taught at the University of Cambridge

aix360 icon aix360

Interpretability and explainability of data and machine learning models

alfred icon alfred

šŸ¤µšŸ»ā€ā™‚ļø Soothing pastel theme for Alfred

apa icon apa

Format output of statistical tests in R according to APA guidelines

attentional_snarc icon attentional_snarc

Repository for Registered Replication Report on Fischer, Castel, Dodd, and Pratt (2003)

bayesfactor icon bayesfactor

Simple Rust/C code for computing one-sample Default Bayesian T tests in Matlab

bayesplay icon bayesplay

The Bayesian playground. A package for learning Bayes factors

bed-reader icon bed-reader

A library for easy, fast, and efficient reading & writing of PLINK Bed files

bff_repo icon bff_repo

Repo for "An empirically-driven guide on using Bayes Factors for M/EEG decoding"

bimt icon bimt

Brain-Inspired Modular Training (BIMT), a method for making neural networks more modular and interpretable.

binder icon binder

Adds binder to tidyverse, providing JupyterHub

cats icon cats

CATS: the Climate-Aware Task Scheduler :cat2: :tiger2: :leopard:

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