HomeOverviewDownload PalamedesSupporting documentationFrequently asked questionsSubmit comments and questionsSubmit a bug reportNews and updates (last update: January 5, 2021)Why "Palamedes"?About usOptions besides PalamedesDemos figure galleryModel Comparison ExamplesConfused about Weibull?Failed Fits?Hierarchical Bayesian PF Fitting

Figure 1: PAL_PFML_Fit first performs a brute-force search across a discrete parameter space, then uses best function in the grid as starting point in the iterative search procedure. Threshold and slope are free parameters.


Figure 2: Same as above, but now the lapse rate is also a free parameter. (Note that any combination of the 4 parameters of the PF can be included in the search grid (including all 4!)).