The changes allow the user to include area correction variance by altering the data_DWP input such that it contains bootstrapped samples for each unit and size combination (as and if specified by the user). In the diff comparisons it will look like a large section of DWPbyCarcass() was deleted but a large chunk was actually just copied and put inside a big if/then statement. No original code was deleted. The biggest change to plain vanilla GenEst is in the estg() function, which now returns the g estimates already multiplied by DWP. Thus, in estM() the final g estimates are calculated as gDf <- est$ghatDWP * frac. Note that this change does not affect default behavior.
I have tested these changes, but testing from a third party is necessary to hunt down any lingering edge-case bugs.
The changes allow the user to include area correction variance by altering the data_DWP input such that it contains bootstrapped samples for each unit and size combination (as and if specified by the user). In the diff comparisons it will look like a large section of
DWPbyCarcass()was deleted but a large chunk was actually just copied and put inside a big if/then statement. No original code was deleted. The biggest change to plain vanilla GenEst is in theestg()function, which now returns the g estimates already multiplied by DWP. Thus, inestM()the final g estimates are calculated asgDf <- est$ghatDWP * frac. Note that this change does not affect default behavior.I have tested these changes, but testing from a third party is necessary to hunt down any lingering edge-case bugs.