R-sig-geo group, I have found similar problems with the BBMM package in R. I ran my datasets through brownian bridge movement model as implemented in Animal Space Use, http://www.cnr.uidaho.edu/population_ecology/animal_space_use.htm and the R package adehabitat, http://cran.r-project.org/web/packages/adehabitat/index.html (in adehabitat with the help of Tyler, the original poster). Both of the other programs ran fine with similar outputs and the only problems I encountered were dealing with the various formats needed for time, projections needed for coordinates, and offsetting of discretized (rounded) sample points. When I ran the sample dataset included with the BBMM package, some of the time the sample dataset would preform properly and sometimes I would get a result returned with NaN for all probability values on both R 2.11.1 32-bit and 64-bit. The author was helpful in troubleshooting, I just choose to implement the brownian bridge in adehabitat because of Tylers success with the package and my short timeline for troubleshooting. The Author of BBMM had no problems with the sample dataset on his machine. I speculate that either data issues were causing problems and were masked by the routines in BBMM and these errors did not halt calculation. The raptor datasets I worked with had problems like data discretion (rounding errors introduced by Argos sattelite limitations) but those were dealt with by offseting routines written in SAS. My point clouds were somwhat dense with 1000-4000 points per bird per year. I would be interested in any experiences others had with the package as we might be able to provide insight to the author address the problems encountered in this posting. Andrew Duff
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