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. Author manuscript; available in PMC: 2015 Oct 19.

Published in final edited form as: Am Nat. 2015 Apr 16;185(6):797–808. doi: 10.1086/681084

Bivariate heat map pooling the posterior distributions of parameter estimates of all 30 genotype×density treatments. There is bimodality within a_fm a_mf and l_f. Bimodal distributions like this may represent a lack of identifiability (see Supplemental Material). Here, for the combination of a_mf and a_fm, the two peaks fall into two distinct categories: one in which a_mf is higher than a_fm(mfHigh), and one in which the opposite is true (mfLow). Because the joint probability of mfHigh is effectively 1, we conduct subsequent analyses only on mfHigh. On the left plot we show the full dataset. On the right, the model mfHigh is above the diagonal and mfLow is below.

Bivariate heat map pooling the posterior distributions of parameter estimates of all 30 genotype×density treatments. There is bimodality within a_fm a_mf and l_f. Bimodal distributions like this may represent a lack of identifiability (see Supplemental Material). Here, for the combination of a_mf and a_fm, the two peaks fall into two distinct categories: one in which a_mf is higher than a_fm(mfHigh), and one in which the opposite is true (mfLow). Because the joint probability of mfHigh is effectively 1, we conduct subsequent analyses only on mfHigh. On the left plot we show the full dataset. On the right, the model mfHigh is above the diagonal and mfLow is below.