@lizzieinvancouver as you requested, starting an issue with the equation text:
$$\ln(\text{ringwidth})_i \sim \text{Normal}(\mu, \sigma_y)$$
$$ \mu = \alpha + \alpha_{\text{species}} + \alpha_{\text{site}} + \alpha_{\text{treeid}} + \alpha_{\text{year}} + \beta_{\text{species}} \times \text{season predictor} $$
$$ \alpha \sim \text{Normal}(1, 3), \quad $$
$$\alpha_{\text{species}} \sim \text{Normal}(0, 6), \quad $$
$$\alpha_{\text{site}} \sim \text{Normal}(0, \sigma_{\alpha,\text{site}})$$
$$\alpha_{\text{treeid}} \sim \text{Normal}(0, \sigma_{\alpha,\text{treeid}}), \quad $$
$$\beta_{\text{species}} \sim \text{Normal}(0, 0.5) $$
$$ \sigma_{\alpha,\text{site}} \sim \text{Normal}(0, 1), \quad$$
$$\sigma_{\alpha,\text{treeid}} \sim \text{Normal}(0, 1), \quad $$
$$\sigma_y \sim \text{Normal}+(0, 3)$$
I wasn't sure if you wanted me to also add the text that describes the equation. In case you did, here it is (I didn't include the model diagnostics and package details):
where $i$ is each observation of the dataset. Intercepts on species ($\alpha_{species}$) and year ($\alpha_{year}$) and slope on species ($\beta_{species}$) were not pooled (fixed effects), and we partially pooled (random effects) site ($\alpha_{site}$) and treeid ($\alpha_{treeid}$) to account for the similarity of the measurements within these groups.
Also, you pointed to $\sigma_{y}$ with "missing its normal". I'm not sure what you mean by that...
@lizzieinvancouver as you requested, starting an issue with the equation text:
I wasn't sure if you wanted me to also add the text that describes the equation. In case you did, here it is (I didn't include the model diagnostics and package details):
Also, you pointed to$\sigma_{y}$ with "missing its normal". I'm not sure what you mean by that...