Mixed-effects models
- MixedModels.jl, the next generation of software for fitting mixed-effects models
- BoxCox.jl
- MixedModelsExtras.jl
- MixedModelsMakie.jl
- MixedModelsPermutations.jl Permutation tests for MixedModels.jl (EXPERIMENTAL)
- MixedModelsSerialization.jl
- MixedModelsSim.jl/
- JellyMe4.jl RCall support for MixedModels.jl and lme4
- Effects.jl
- RegressionFormulae.jl
- StandardizedPredictors.jl
- lmerMultiMember
- lmerOut, an R package for pretty printing summaries and ANOVAs from mixed-effects models
- simr, an R package for conducting simulation-based power analyses of mixed-effects models (contributor)
EEG
- philistine, a collection of miscellaneous Python functions that I find useful, including an implementation of the Savitzky-Golay based method for IAF determination (Corcoran, Alday et al. Psychophysiology, 2018).
- DDTBOX, an EEGLAB plugin for MVPA (contributor)
- MNE Python, a Python package for analysing M/EEG data (contributor)
- PyMNE.jl
- PyFOOOF.jl
- libeep, C library for the processing of Advanced Neuro Technology’s file format for EEG data (contributor)
Miscellaneous
- TestSetExtensions.jl
- FiveLetterWords.jl
- mdwc, a drop-in
wc
replacement for pandoc Markdown files with a YAML block, also available via my Homebrew tap - futhark (git, hg) Makefile template for for authoring articles in Markdown and automatically copying references from a BibTeX library to a repository.bib file and generating Markdown diffs from version control history
- Automated look up of frequency data for a list of words via the Leipziger Wortschatz
- Python 3 fork for libleipzig interface (Hosted on GitHub with the parent project)
- My work on getting suds to work on Python 3
- deduper, a deduplication utility
- splitauthor, a utility for changing historical authorship in Mercurial
- neuropsychology, an R package for preparing common statistical methods for publication (contributor), now deprecated
- Analysis code for a quantitative model of morphological regularization (offshoot of my MA thesis)
- Compressed sensing example