For running psychology and neuroscience experiments

YACS -- Yet Another Configuration System

A JavaScript port of Facebook's PlanOut Experimentation Framework

A Python-based toolbox of various methods in uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.

Power analysis is essential to optimize the design of RNA-seq experiments and to assess and compare the power to detect differentially expressed genes. PowsimR is a flexible tool to simulate and evaluate differential expression from bulk and especially single-cell RNA-seq data making it suitable for a priori and posterior power analyses.

Covariate Balance Tables and Plots - An R package for assessing covariate balance

A minimalist framework for rapid server side applications prototyping in C++ with dependency injection support.

ParamHelpers Next Generation

Bayesian Information Gap Decision Theory

効果検証入門のコードをPythonで実装しました。

An R Package and Shiny App for generating word stimuli for Psychology experiments.

BonVision is an open-source closed-loop visual environment generator developed by the Saleem Lab and Solomon Lab at the UCL Institute of Behavioural Neuroscience in collaboration with NeuroGears.

Design of Experiments in Julia

This package underwent major revisions and is now available as powsimR!

💫 Computer-aided DNA assembly validation and identification from restriction digests.

AB Testing

Experiments in Virtual Environments

Template structure for behavioural tasks.

Throw away experiments that don't spark joy

Causal Inference Using Quasi-Experimental Methods

Experimental Design & Recommendations Project of Udacity Data Scientist Nanodegree

Identifiability and experimental design in perturbation studies

Disciplina do Programa de Pós-Graduação em Ecologia, Instituto de Biologia, Universidade Federal do Rio de Janeiro

Power calculations in R that produce results familiar to Stata users.

A fast parser, interpreter, and API for the PlanOut experimentation framework.

Assignment and project files in R and Python that I created as part of the data science master degree at Berkeley University.

Universal FEM model and optimization for acoustic muffler

Functions to allocate new subjects to a trial

Visual measurement is a construction positioning method developed in recent years. Combining visual measurements with on-site Guiyang subway construction, this paper proposes an automatic positioning method of roadheader excavation, replacing human vision by machine vision, and changing the current situation in tunnel excavation. First, a laser beam emits from a distance to the tunnel face. Pictures taken by a camera set on the body of roadheader are analyzed digitally based on RGB system by building a computer model by using MATLAB. The model extracts spots’ centers. Then, based on mathematical analysis of digital image, model gives the decoupled eigenvalues of positional relationship between the actual position and the standard position of roadheader in three principal directions, so as to effectively guide the construction and implement automation. This paper also makes experiments to compare characteristics of single laser spot by RGB decomposition, test model’s accuracy in extracting image of laser beam, and use a similar model to analyze the impact of camera distortion in the actual work.