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biooss
sensitivity:Global Sensitivity Analysis of Model Outputs and Importance Measures
A collection of functions for sensitivity analysis of model outputs (factor screening, global sensitivity analysis and robustness analysis), for variable importance measures of data, as well as for interpretability of machine learning models. Most of the functions have to be applied on scalar output, but several functions support multi-dimensional outputs.
Maintained by Bertrand Iooss. Last updated 7 months ago.
17 stars 6.69 score 472 scripts 8 dependents
collinerickson
TestFunctions:Test Functions for Simulation Experiments and Evaluating Optimization and Emulation Algorithms
Test functions are often used to test computer code. They are used in optimization to test algorithms and in metamodeling to evaluate model predictions. This package provides test functions that can be used for any purpose.
Maintained by Collin Erickson. Last updated 7 months ago.
5.16 score 48 scripts 2 dependents
cran
FunWithNumbers:Fun with Fractions and Number Sequences
A collection of toys to do things like generate Collatz and other interesting sequences, calculate a fraction which is a close approximation to some value (e.g., 22/7 or 355/113 for pi), and so on.
Maintained by Carl Witthoft. Last updated 12 months ago.
1.00 score