log catch/index residuals do not use bias correction

[brianstock-NOAA]

When the observation errors for aggregate catch and indices are bias corrected (which they are by default, bias_correct_oe = 1), the plotted residuals are not calculated using the bias correction. This makes most/all of the residuals negative, e.g:

Instead of calculating residuals as: log_stdres = (log(catch)-log(pred_catch))/sigma, we should change it to log_stdres = (log(catch)-log(pred_catch)+0.5*sigma^2)/sigma because the expectation of each catch obs is the pred catch - 0.5*sigma^2 (i.e. Eqn 8 in WHAM paper). Should also be adjusted by exp(log_catch_sig_scale) if that's used.

Going forward: pred_catch remains the same, (the Baranov eq, C_hat in Eqns 7-8) log_pred_catch removed pred_log_catch = log(pred_catch) + 0.5*sigma^2, replaces pred_catch in residual calcs log_catch_resid corrected

Same for the indices.

[brianstock-NOAA]

Should be fixed now. See revised plots (butterfish base model).