<p>AIC-based support for fixed effects. Values are sums of model weight values for all models in the set (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0121254#pone.0121254.t002" target="_blank">Table 2</a>).</p
<p>The correspondence with the different sections of <a href="http://www.plosone.org/article/info:do...
<p>Model averaging based on corrected Akaike Information Criterion (AICc) weight (Wt).</p
<p>This table displays the AICs of a state-space log-linear model with increasing interaction orders...
<p><b>For a description of the different models see <a href="http://www.plosone.org/article/info:doi...
<p>Table showing the summed Akaike weights for each parameter for all models within Δ AICc of five f...
<p>Cumulative AICc values of each independent variable based on its contribution to the AICc values ...
<p>AIC, delta AIC, and Akaike weight for <i>a priori</i> models. AIC values in bold identify models ...
<p>Each row specifies the significant increase in goodness of fit obtained by adding the current pre...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>Table of Akaike Information Criterion (AIC) and Adjusted R<sup>2</sup> values for the different p...
<p>For each participant, the AIC of the best-performing model has been subtracted from the AIC for e...
<p>For each participant, the AIC of the best-performing model has been subtracted from the AIC for e...
<p>The AIC is calculated using , where is the number of parameters and is the maximum likelihood f...
<p>For each participant, the AIC of the best-performing model has been subtracted from the AIC for e...
<p>The correspondence with the different sections of <a href="http://www.plosone.org/article/info:do...
<p>Model averaging based on corrected Akaike Information Criterion (AICc) weight (Wt).</p
<p>This table displays the AICs of a state-space log-linear model with increasing interaction orders...
<p><b>For a description of the different models see <a href="http://www.plosone.org/article/info:doi...
<p>Table showing the summed Akaike weights for each parameter for all models within Δ AICc of five f...
<p>Cumulative AICc values of each independent variable based on its contribution to the AICc values ...
<p>AIC, delta AIC, and Akaike weight for <i>a priori</i> models. AIC values in bold identify models ...
<p>Each row specifies the significant increase in goodness of fit obtained by adding the current pre...
<p>The Akaike Information Criterion (AIC) is a metric for determining the most appropriate model for...
<p>Akaike information criterion (AIC) values are compared between several sub-models of the RDM. Eac...
<p>Table of Akaike Information Criterion (AIC) and Adjusted R<sup>2</sup> values for the different p...
<p>For each participant, the AIC of the best-performing model has been subtracted from the AIC for e...
<p>For each participant, the AIC of the best-performing model has been subtracted from the AIC for e...
<p>The AIC is calculated using , where is the number of parameters and is the maximum likelihood f...
<p>For each participant, the AIC of the best-performing model has been subtracted from the AIC for e...
<p>The correspondence with the different sections of <a href="http://www.plosone.org/article/info:do...
<p>Model averaging based on corrected Akaike Information Criterion (AICc) weight (Wt).</p
<p>This table displays the AICs of a state-space log-linear model with increasing interaction orders...