easlinger

academicmarkdown

Academic writing with Markdown

collaborative_timing_tests

ContinuousPerformanceTest

A psychopy-based remake of the clinical diagnostic test.

expyriment

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

HierarchicalGaussianFiltering.jl

The Julia implementation of the generalised hierarchical Gaussian filter

lazy_tools

lmfit-py

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize.leastsq, and with many additional classes and methods for curve fitting

MplusAutomation

The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.

psychopy

For running psychology and neuroscience experiments

PTSD_Public

easlinger/lazy_tools

easlinger/academicmarkdown

Academic writing with Markdown

easlinger/collaborative_timing_tests

easlinger/ContinuousPerformanceTest

A psychopy-based remake of the clinical diagnostic test.

easlinger/expyriment

Platform-independent lightweight Python library for designing and conducting timing-critical behavioural and neuroimaging experiments

easlinger/HierarchicalGaussianFiltering.jl

The Julia implementation of the generalised hierarchical Gaussian filter

easlinger/lmfit-py

Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize.leastsq, and with many additional classes and methods for curve fitting

easlinger/MplusAutomation

The MplusAutomation package leverages the flexibility of the R language to automate latent variable model estimation and interpretation using Mplus, a powerful latent variable modeling program developed by Muthen and Muthen (www.statmodel.com). Specifically, MplusAutomation provides routines for creating related groups of models, running batches of models, and extracting and tabulating model parameters and fit statistics.

easlinger/psychopy

For running psychology and neuroscience experiments

easlinger/PTSD_Public

easlinger/PyDESeq2

A Python implementation of the DESeq2 pipeline for bulk RNA-seq DEA.

easlinger/pymer4

All the convenience of lme4 in python

easlinger/testsheets

Turning Sheets into TestThat Functions