Package: CGNM 0.9.3

When and when not to use CGNM | Use CGNM | Not to use CGNM | How to use CGNM | Prepare the model ($\boldsymbol f$) | Prepare the data ($\boldsymbol y^*$) | Run Cluster_Gauss_Newton_method | Obtain the approximate minimizers | Can run residual resampling bootstrap analyses using CGNM as well | Visualize the CGNM modelfit analysis result | Inspect the distribution of SSR of approximate minimizers found by CGNM | visually inspect goodness of fit of top 50 approximate minimizers | plot model prediction with uncertainties based on residual resampling bootstrap analysis | plot profile likelihood | plot profile likelihood surface | Parallel computation | an example of parallel implementation for Mac using parallel package | an example of parallel implementation for Windows using foreach and doParllel packages | What is CGNM? | The mathematical problem CGNM solves