Currently, the grid fit performs a GLM finding the optimal slope and baseline for predictions in the grid, in all cases. When desiring to keep the baseline fixed, the GLM baseline is set and fixed to the chosen value for iterative fitting. However, ideally this should be done already at the GLM stage (i.e. finding only the optimal slope with the given fixed baseline). this should improve speed of the grid-fit, speed of iterative-fit, and likely the stability of iterative-fit as well
Currently, the grid fit performs a GLM finding the optimal slope and baseline for predictions in the grid, in all cases. When desiring to keep the baseline fixed, the GLM baseline is set and fixed to the chosen value for iterative fitting. However, ideally this should be done already at the GLM stage (i.e. finding only the optimal slope with the given fixed baseline). this should improve speed of the grid-fit, speed of iterative-fit, and likely the stability of iterative-fit as well