Description Usage Arguments Details Value
prep_data: Certain variable names and values are hard coded and this prepares the data and ddl to make sure they are setup correctly and fixes specific real values in the ddl.
1 2 |
data |
dataframe containing double observer data with field ch (capture history), freq (optional), type ="u" (marked) or "c" (unmarked), count if more than one animal in each sighting. This is passed to process.data after checks. |
model |
either "Huggins" or "HugFullHet" |
... |
extra parameters passed to either process.data or make.design.data in RMark |
dp |
processed data passed to make.design.data after checks |
1) The data needs to contain a variable het which is constructed if not available in data, 2) A factor variable type with values "marked" and "unmarked" must be in data to define groups in data, 3) The encounter history named ch must be of type character with 3 characters each, 4) The model argument must be either Huggins or HugFullHet, and 5) The extra ... arguments are passed to process.data but cannot contains "groups" which is pre-specified.
prep_ddl: Prepares the ddl to make sure and fixes specific real values in the ddl. 1) for p and c parameters creates variable loc (for location) with values "Radio","Front" and "Rear" for 3 characters in ch, 2) for p and c parameters, creates a numeric variable "rear" which is 1 for loc=="Rear" and 0 otherwise, 3) creates variable fix for parameters p and c, to fix real parameter p to 1 for radio for type=="marked" and 0 for type="unmarked", 4) for HugFullHet model (pi in ddl), the pi for type=="unmarked" is set to 0 because that mixture has p=0 so by definition can't be in unmarked which only contain those seen, 5) for HugFullHet model (pi in ddl), set p=0 (except for Radio loc) for mixture because they cannot be seen by definition
processed data list from prep_data and design data list (ddl) from prep_ddl
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