Until recently, program DISTANCE was the unchallenged main software for distance sampling. It is still favored by many who are comfortable with a graphical user inferface (vs. scripting and object orientation). It is also based on a parallel but distinct set of assumptions, the main one being the 'conditional' nature of the models (vs. the unconditional nature of the models in unmarked/distsamp(). I have chose to emphasize unmarked because of its flexible nature in modeling covariates, the use of straightforward R syntax for glm modeling, and above all to keep the number of software programs from becoming a cluttering distraction. Here I have read the rabbit data (from the line transect example) into DISTANCE and reproduced one of the models, the hazard rate - no covariate model, in DISTANCE format. Users may unzip the contents of this folder, open the DISTANCE project, and compare results (they should not be surprised to see that these are very similar to those from unmarked/distsamp())