Distributional Regression Models Using Template Model Builder R package drmTMB version 0.7.0 Fast distributional regression models for univariate and bivariate responses using Template Model Builder. The current implementation focuses on Gaussian, Student-t, and skew-normal location-scale models, known sampling covariance, phylogenetic location effects, random-effect scale models, bivariate residual correlation, positive-continuous, 'Tweedie' semi-continuous, strict-proportion, zero-one bounded, and denominator-aware proportion families, fixed-effect Bernoulli/binomial event-probability models, and fixed-effect Poisson, negative-binomial, zero-inflated, zero-truncated, hurdle count, and ordinal cumulative-logit models. Additional response-family models are staged for later phases. Every fitted family also exposes a distributional-output and adequacy layer: randomized quantile-residual worm and QQ plots that detect fixed-effect shape and atom misspecification, and conditional-quantile, exceedance, and centile outputs with plug-in (uncalibrated) intervals. Software Depends: R (>= 4.1.0) Imports: cli, lifecycle, Matrix (>= 1.6.0), methods, stats, TMB (>= 1.9.6), utils LinkingTo: RcppEigen, TMB Suggests: ape, callr, detectseparation (>= 0.4.0), emmeans, extraDistr, fmesher, glmmTMB, ggplot2, JuliaCall, knitr, lme4, MASS, metadat, metafor, mvtnorm, nlme, numDeriv, ordinal, palmerpenguins, pkgload, rmarkdown, sf, spelling, statmod, testthat (>= 3.0.0), tweedie, withr Shinichi Nakagawa <itchyshin@gmail.com> Comprehensive R Archive Network (CRAN) Shinichi Nakagawa [aut, cre, cph] (ORCID: <https://orcid.org/0000-0002-7765-5182>) GPL (>= 3) 2026-09-15 application/tgz https://CRAN.R-project.org/package=drmTMB doi:10.32614/CRAN.package.drmTMB en-GB