Structure for organizing Monte Carlo simulations in R
-
Updated
Jun 4, 2024 - R
Structure for organizing Monte Carlo simulations in R
Edit an Antares study
Import, manipulate and explore the results of an Antares simulation
Tools for Stochastic Simulation using diffusion models (R).
Acceptance and rejection method
Impact pathway and impact forecast of Integrated Soil Fertility Management
Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.
Running simulation scripts through R and flexMIRT for Multiple Item Response Theory.
Employed Monte Carlo simulation to model beetle population dynamics within a closed ecosystem experiencing seasonal changes driven by fluctuations in food availability and habitat.
An R package for symbolic and numerical computations on scalar and multivariate systems of stochastic differential equations (SDEs). It provides users with a wide range of tools to simulate, estimate, analyze, and visualize the dynamics of these systems in both forms Itô and Stratonovich <doi:10.18637/jss.v096.i02>.
Robust estimations from distribution structures: III. Non-asymptotic
Vrednovanje azijskih opcija
An R package for running and presenting Monte Carlo simulations
Essential techniques to assess financial risks
Computational cognitive model for the ACT-R cognitive architecture, this model depicts the memory processes involved in behavior change when adopting a keyboard shortcut method for inputting a command to a computer system.
Tutorial and R code for the paper "Sample size requirements for bifactor models"
📈 Test of independence using the Monte Carlo method
Simple code to simulate Neutron Scattering in Non-Radiative matter using Monte Carlo simulations
ANTARES Visualizations
R code for the paper - Hermanussen et.al. Winner-loser effects improve social network efficiency between competitors with equal resource holding power. Sci Rep 13, 14439 (2023).
Add a description, image, and links to the monte-carlo-simulation topic page so that developers can more easily learn about it.
To associate your repository with the monte-carlo-simulation topic, visit your repo's landing page and select "manage topics."