Open richelbilderbeek opened 5 years ago
Hi Richel,
exteq = TRUE is incompatible with having four parameters. exteq = TRUE means the extinction rates of good and incipient species are always the same, so no need to set it. A more informative error method would indeed be helpful...
Cheers, Rampal
On 8-11-2018 13:46, Richel Bilderbeek wrote:
I have a hard time finding out how to use |pbd_ML|. I wish the error message would be more hulpful, to point a user into the right direction.
Say, I want to do a maximum likelihood optimization for the speciation completion rate. This is one of the many ways I've tried:
|# Goal: optimize the SCR branching_times <- c(1, 2, 3, 4) erg <- 0.1 # Extinction Rate of Good species eri <- 0.2 # Extinction Rate of Incipient species scr <- 0.3 # Speciation Completion Rate # ML assumes these are the same sirg <- siri <- 0.4 # Speciation Initiation Rate of Good/Incipient Species out <- PBD::pbd_ML( brts = branching_times, idparsopt = 3, # SCR initparsopt = scr, idparsfix = c(1, 2, 4), parsfix = c(sirg, erg, eri), exteq = TRUE, verbose = TRUE ) |
The error message is:
|The arguments should be coherent. |
I wish the error message would be more detailed. Sure, I can look into the code (and I will in a sec), but it may be preferable to be more helpful to the user.
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Agree, that's one/a solution. This Issue is about helping other users get there faster.
I have a hard time finding out how to use
pbd_ML
. I wish the error message would be more hulpful, to point a user into the right direction.Say, I want to do a maximum likelihood optimization for the speciation completion rate. This is one of the many ways I've tried:
The error message is:
I wish the error message would be more detailed. Sure, I can look into the code (and I will in a sec), but it may be preferable to be more helpful to the user.