Run a Function Iteratively While Varying Parameters
Generate data through a factor matrix and effects matrix.
Run a function iteratively using a grid search approach for parameter ...
Calculate error variance given model coefficients.
Return the number of iterations performed by a parameter test.
Print summary of parameter tests.
Run a function iteratively using a random search approach for paramete...
Return results of a parameter test.
Run a function iteratively, with options for parallel processing.
Print summary of parameter tests.
Return the parameter values that were tested by paramtest.
Return the timing information of a parameter test.
Run simulations or other functions while easily varying parameters from one iteration to the next. Some common use cases would be grid search for machine learning algorithms, running sets of simulations (e.g., estimating statistical power for complex models), or bootstrapping under various conditions. See the 'paramtest' documentation for more information and examples.