tmb-likelihood-review

name	tmb-likelihood-review
description	Review TMB likelihoods and parameterizations before merging.

TMB Likelihood Review

Use this skill for any change to C++ templates, density functions, or parameter transforms.

Review Checklist

• Are all constrained parameters represented internally on unconstrained scales?
• Are positive parameters on log scales?
• Are correlations on tanh/atanh or another stable bounded transform?
• Are constants included consistently in likelihoods?
• Are gradients finite for simulated data?
• Does sdreport() report interpretable transformed parameters?
• Does simulation recover truth under ordinary sample sizes?
• Are boundary and weak-identification cases tested?

For bivariate Gaussian models, verify that each observation's covariance matrix is positive definite:

Omega_i = [sigma1_i^2, rho12_i * sigma1_i * sigma2_i;
           rho12_i * sigma1_i * sigma2_i, sigma2_i^2]