Introduction | Notation conventions | sdmTMB model structure | Linear predictor components | Main effects | Smoothers | Linear break-point threshold models | Logistic threshold models | Offset terms | Random intercepts and slopes | Time-varying regression parameters | Spatial random fields | Spatiotemporal random fields | IID spatiotemporal random fields | AR(1) spatiotemporal random fields | Random walk spatiotemporal random fields (RW) | Spatially varying coefficients (SVC) | Nonlocal formula (covariate diffusion) | Gaussian random fields | Interpreting range and standard deviation | Matérn parameterization | Projection $\bA$ matrix | Anisotropy | Incorporating physical barriers into the SPDE | Areal autoregressive models (SAR/CAR) | Observation model families | Bounded or binary outcomes (0–1, proportions) | Binomial | Beta-binomial | Beta | Ordered beta | Count data | Poisson | Censored Poisson | Negative Binomial 2 (NB2) | Negative Binomial 1 (NB1) | Truncated negative binomial | Negative binomial 2 mixture | Positive continuous outcomes | Gamma | Lognormal | Generalized gamma | Gamma mixture | Lognormal mixture | Non-negative continuous outcomes with exact zeros | Tweedie | Continuous real-valued outcomes | Gaussian | Student-t | Delta models | Optimization | Optimization details | Assessing convergence | Notation reference tables | References