Hi,
I want to make sure I understand my PIMs. I've read through the chapters and much of this forum, but just don't "get it" yet. I have a simple data set: 1 group, 2 primaries with 3 secondaries each. My interest is abundance and only abundance, one estimate for each primary. I have been advised to use the Robust Design method even though we only have 2 primaries (I also have read on this forum how a closed capture analysis on each primary would work as well and be easier, but I digress). Will be doing full-likelihood p and c, and Huggins p and c.
Please see the image of my PIMS and my data file. I have assumed I need to fix S=1 and gamma'' = 0. If I want to run an Mnot model, it looks like I would need to set p=c for each primary, and for Mtb, I could run the model as is?
first few rows of data:
/* 1000 */ 011111 1;
/* 2000 */ 011111 1;
/* 2001 */ 011111 1;
/* 2002 */ 011011 1;
/* 2003 */ 011011 1;
/* 2004 */ 011111 1;