The survey plugin has a nested structure, with question objects inside of pages, so the use of the data parameter might not be intuitive. It might be helpful to explain in the docs and/or show in examples that data must be added on the trial rather than question level. See #2546.
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.
This Python library implements Trimmed Match for analyzing randomized paired geo experiments and also implements Trimmed Match Design for designing randomized paired geo experiments.
A Python Package for intuitive design of experiments with user-friendly analysis of results. The aim is for this package to rival the DOE capabilities of commercial software such as JMP. Currently designs and analysis will be more geared towards investigations following the Response Surface Methodology.
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.
The survey plugin has a nested structure, with question objects inside of pages, so the use of the data parameter might not be intuitive. It might be helpful to explain in the docs and/or show in examples that data must be added on the trial rather than question level. See #2546.