update line re innovations residuals

atsa-es · Feb 9, 2021 · c285eec · c285eec
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diff --git a/Lab-fitting-DLMs/DLM.Rmd b/Lab-fitting-DLMs/DLM.Rmd
@@ -872,7 +872,7 @@ head(SR_data)
 \text{log}(R_t/S_t) &= \alpha_t + v_t
 \end{align*}
 
-This model assumes no density-dependent survival in that the number of recruits is an ascending function of spawners.  Plot the ts of $\alpha_t$ and note the AICc for this model.  Also plot appropriate model diagnostics.
+This model assumes no density-dependent survival in that the number of recruits is an ascending function of spawners.  Plot the ts of $\alpha_t$ and note the AICc for this model.  Also plot appropriate model diagnostics. `residuals()` will return the innovations residuals for your fits.
 
 2. Fit the full model specified by Equation \@ref(eq:dlm-lnTVRicker).  For this model, obtain the time series of $\alpha_t$, which is an estimate of the stock productivity in the absence of density-dependent effects. How do these estimates of productivity compare to those from the previous question?  Plot the ts of $\alpha_t$ and note the AICc for this model.  Also plot appropriate model diagnostics.  ($Hint$: If you don't want a parameter to vary with time, what does that say about its process variance?)
 

diff --git a/images/BB_sockeye_rivers_inset.png b/images/BB_sockeye_rivers_inset.png