| ahm | This is one of the main functions. The function ahm computes the proposed additive heredity model. |
| check_col_correlation | Check column correlations |
| coating | Photoresist-coating experiment data |
| coef.ahm | Coefficient method for the fitted ahm object |
| coef.cv.ahm | Coefficient method for the fitted cv.ahm object |
| compute_aicc | compute AICc |
| cv.ahm | This is one of the main functions. It perform the cross validation on ahm models to select the optimal setting of hyper parameter h |
| design_simplex_centroid_design_3_major_component | Design points for the simplex centroid design with 3 components |
| enlist | Create a list |
| expand_interactions | Expand the interaction terms for each subset group, say x11, x12, or c1, c2, c3 |
| find_condition_num | Compute the conditional number of design matrix |
| mapping_function | Mapping_function is a function to add the functional coefficients of major components in front of minor components terms |
| mymaximin | The mymaximin function generates the matrix of maximin design points. It uses the simplex centroid design as the base design, then in a stochastics way sample the candidate design points generated by the function partition. |
| predict.ahm | Predict method for the fitted ahm object |
| predict.cv.ahm | Predict method for the fitted cv.ahm object |
| pringles_candidates2search | The candidate search points in the nonlinear optimization for the optimal value in the Pringles experiment |
| pringles_fat | Pringles experiment data set with the percent of Fat as the response |
| pringles_hardness | Pringles experiment data set with the Hardness as the response |
| summary.ahm | Summary method for the fitted ahm object |