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drmTMB  

Distributional Regression Models Using Template Model Builder
View on CRAN: Click here


Download and install drmTMB package within the R console
Install from CRAN:
install.packages("drmTMB")

Install from Github:
library("remotes")
install_github("cran/drmTMB")

Install by package version:
library("remotes")
install_version("drmTMB", "0.7.0")



Attach the package and use:
library("drmTMB")
Maintained by
Shinichi Nakagawa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-15
Latest Update: 2026-09-15
Description:
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.
How to cite:
Shinichi Nakagawa (2026). drmTMB: Distributional Regression Models Using Template Model Builder. R package version 0.7.0, https://cran.r-project.org/web/packages/drmTMB. Accessed 24 Oct. 2026.
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