DeclareDesign: Declare and Diagnose Research Designs
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Updated
Mar 10, 2025 - R
Simulation refers to the process of creating a virtual model of a real-world system to study its behavior and performance under various conditions. This topic covers the principles, methodologies, and applications of simulation in fields such as engineering, science, healthcare, and social sciences. Simulations can range from simple models to complex, interactive environments, allowing researchers and practitioners to test hypotheses, train individuals, and predict outcomes without the risks or costs associated with real-world experiments. The topic also explores different types of simulation software and tools, as well as best practices for designing and validating simulations.
DeclareDesign: Declare and Diagnose Research Designs
Population genetic simulations in R 🌍
Statistical Quantification of Individual Differences: an simulation tool for understanding multi-level phenotypic data in linear mixed models
Clinical Trial Simulations
Analysis of simulation studies including Monte Carlo error
🐟 R package for NetLogo experiments http://bergant.github.io/nlexperiment/
Stochastic epidemiological branching simulation
R package to simulate genotype-phenotype maps and analyse them
Simulaciones de epidemias 👾 en poblaciones con mezclas homogéneas 👪 utilizando modelos basados en agentes autónomos 🤖
Simulation framework for biodiversity data cubes
Simulate data and fit 2-species occupancy model à la Rota et al. (2016) w/ Unmarked
An R package for running the 3D-CMCC-FEM model
Replication of simulations and results from Chapelle, O., & Li, L. (2011). An empirical evaluation of Thompson sampling. Advances in neural information processing systems, 2249-2257.
Integrated population models for interacting species
A simulation study looking at which combinations of missing data handling methods across a prediction model's pipeline are compatible, and which ones lead to bias.
Binding free energy calculation
Study of time-frequency representations in the presence of heteroscedastic dependent noise
Analysis of local adaptation on Medicago for French institute INRA
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