Population Experimental Design (PopED) in R
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Updated
Nov 13, 2025 - R
Population Experimental Design (PopED) in R
Optimal Design of a Synchronous Reluctance Motor Using BioGeography-Based Optimization
R package of comprehensive tools for designing and analyzing choice-based conjoint (cbc) experiments
Code for FLEX, a fast, adaptive and flexible model-based reinforcement learning exploration algorithm.
A simple code for running ANSYS Electronics Desktop (ANSYS Maxwell) from MATLAB.
An optimal design of experiments library written in pure Rust. Read-only mirror of https://git.sr.ht/~maunke/odesign. This repository does not accept pull requests. Please send contributions to https://lists.sr.ht/~maunke/odesign-devel.
Package providing functions to calculate pseudo-ranks and (pseudo)-rank based nonparametric test statistics.
Code to compute Optimal Experimental Design as in Balietti, Klein & Riedl (2020)
Pythonic Aerospace Vehicle Designer - A highly modular conceptual Aircraft designer, coupling geometric global optimization with Raymer, Roskam, Levis and other cool workflows
A Github Repo for Competitive Swarm Optimizer with Mutated Agents.
Torque Ripple Minimization for a Switch Reluctance Motor Using the Ant Lion Optimization Algorithm
R package for sample size calculation for the Wilcoxon-Mann-Whitney test.
Computing approximate optimal designs for multivariate polynomial regressions
Source Code of NestedPSO Algorithm for Finding Standardized Maximin D-optimal Design for Enzyme Inhibition Models
Computational Aerosciences and Optimization : Theory & Applications
Assessing the validity and reproducibility of genome-scale predictions
Shiny app to compute the sample size for optimal designs for univariate norming based on the methods derived in Innocenti et al. (2023, Psychological Methods, 28(1), 89–106)
R package for Optimal design for Group testing experiment
Selection of the optimal configuration for the toroidal-lattice communication network.
R scripts of Innocenti et al. (2021, Statistical Methods in Medical Research, 30(2), 357-375)
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