Simulating in R, analyzing in RMark/MARK, estimation problem

Hello All,
I simulated encounter histories for a Multistate Robust Design in R and have analyzed them in RMark and MARK but something is wrong.
The model has four states A, a, D and d ("a" is unobservable for "A", "D" and "d" are absorbing states). Transitions between "A" and "a", and detection for "A" are being estimated correctly but transitions between "A" and "D" or "d", and detection of "D" and "d" are not. In the later case, the transitions are estimated at half what they should be and the detection probability is being estimated twice as much as it should be.
Any idea why this could be happeing? (aside from the obvious "your simulation is incorrect", which is probably true but why then the coincidental 1/2 to 2x in paired transition/detection?)
Any help greatly appreciated,
claudia
I simulated encounter histories for a Multistate Robust Design in R and have analyzed them in RMark and MARK but something is wrong.
The model has four states A, a, D and d ("a" is unobservable for "A", "D" and "d" are absorbing states). Transitions between "A" and "a", and detection for "A" are being estimated correctly but transitions between "A" and "D" or "d", and detection of "D" and "d" are not. In the later case, the transitions are estimated at half what they should be and the detection probability is being estimated twice as much as it should be.
Any idea why this could be happeing? (aside from the obvious "your simulation is incorrect", which is probably true but why then the coincidental 1/2 to 2x in paired transition/detection?)
Any help greatly appreciated,
claudia