| CNORfuzzy-package | R version of CNOFuzzy, a Constrained Fuzzy Logic Network Optimisation |
| CNORfuzzy | R version of CNOFuzzy, a Constrained Fuzzy Logic Network Optimisation |
| CNORwrapFuzzy | CNORfuzzy analysis wrapper |
| compileMultiRes | Compiles results from multiple runs and produces graph for choosing Post Refinement Threshold |
| computeScoreFuzzy | Compute Score of a model compared to the data for a given intString. |
| defaultParametersFuzzy | Create a list of default parameters |
| gaDiscreteT1 | Genetic algorithm used to optimise a cFL model |
| getRefinedModel | Refinement of Parameters of cFL model |
| interpretDiscreteGA | Interpreter of output of discrete genetic algorithm |
| plotMeanFuzzyFit | Simulates models returned from multiple cFL runs and plots mean fit to data |
| prep4simFuzzy | Prepare a model for simulation |
| reduceFuzzy | Remove unnecessary interactions from cFL model |
| simFuzzyT1 | Simulation of a cFL model |
| writeFuzzyNetwork | Despict the network results of training a cFL model to data in multiple runs. |