Bayesian Optimization and Design of Experiments
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Updated
Jun 28, 2024 - Python
Bayesian Optimization and Design of Experiments
Framework for Data-Driven Design & Analysis of Structures & Materials (F3DASM)
Design of experiments (DoE) and machine learning packages for the iCFree project
Code for Measure This, Not That: Optimizing the Cost and Model-Based Informa- tion Content of Measurements
R package for computing optimal regression designs under second-order least-squares estimator
A modern Fortran statistical library.
A tool for remote experiment management
Two-way ANOVA with Interaction consulting analysis in R
ANOVA-Simultaneous Component Analysis
A MATLAB toolbox to compute optimal regression design
This repository contains code and data for optimizing punch and die design to minimize punched deviations in PCB registraion.
Optimization framework library fully written in C++
Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.
Blocking and randomization for experimental design
Design-of-experiment (DOE) generator for science, engineering, and statistics
A/B Testing from Scratch
CRAN Task View: Design of Experiments (DoE) & Analysis of Experimental Data
ChemDesign: DWSIM Experiment Toolkit
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