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glmmTMB (version 1.1.15.2)

Generalized Linear Mixed Models using Template Model Builder

Description

Fit linear and generalized linear mixed models with various extensions, including zero-inflation. The models are fitted using maximum likelihood estimation via 'TMB' (Template Model Builder). Random effects are assumed to be Gaussian on the scale of the linear predictor and are integrated out using the Laplace approximation. Gradients are calculated using automatic differentiation.

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Install

install.packages('glmmTMB')

Monthly Downloads

47,539

Version

1.1.15.2

License

AGPL-3

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Repository

https://github.com/glmmTMB/glmmTMB

Maintainer

Mollie Brooks

Last Published

September 29th, 2026

Functions in glmmTMB (1.1.15.2)

getGroups.glmmTMB

Extract Grouping Factors from an Object

getCapabilities

List model options that glmmTMB knows about

formula.glmmTMB

Extract the formula of a glmmTMB object

Family functions for glmmTMB

Extract fixed-effects estimates

Fit Models with TMB

transform correlation parameters to and from glmmTMB parameterization

Control parameters for glmmTMB optimization

retrieve current value of TMB autopar setting

Extract info from formulas, reTrms, etc., format for TMB

Calculate random effect structure Calculates number of random effects, number of parameters, block size and number of blocks. Mostly for internal use.

Create X and random effect terms from formula

Extract Empirical Estimating Functions

Retrieve family-specific parameters

Optimize TMB models and package results, modularly

map.theta.propto

Set map values for theta to be fixed (NA) for propto

Simple Cluster Based Meat Matrix Estimator

use of priors in glmmTMB

Objects exported from other packages

Extract Random Effects

profile.glmmTMB

Compute likelihood profiles for a fitted model

Sandwich Estimator based on Bread and Meat Matrices

Reinstalling binary dependencies

Simulate from covariate/metadata in the absence of a real data set (EXPERIMENTAL)

helper function to modify simulation settings for random effects

Extract residual standard deviation or dispersion parameter

print.VarCorr.glmmTMB

Printing The Variance and Correlation Parameters of a glmmTMB

predict.glmmTMB

residuals.glmmTMB

Compute residuals for a glmmTMB object

simulate.glmmTMB

Simulate from a glmmTMB fitted model

Extract or Get Generalize Components from a Fitted Mixed Effects Model

Methods for extracting developer-level information from glmmTMB models

Get Grouping Variable

conditionally update glmmTMB object fitted with an old TMB version

Cluster Robust Variance-Covariance Matrix Estimator

summary.glmmTMB

summary for glmmTMB fits

weights.glmmTMB

Extract weights from a glmmTMB object

Change starting parameters, either by residual method or by user input (start)

switch to using RTMB

Check OpenMP status

Calculate Variance-Covariance Matrix for a Fitted glmmTMB model

Factor with numeric interpretable levels.

Spider data from CANOCO, long format

VarCorr.glmmTMB

Extract variance and correlation components

Get theta parameterisation of a covariance structure

anova method for glmmTMB fits, comparing two or more nested models

Bread Matrix for Sandwich Estimator

dtruncated_nbinom2

truncated distributions

Downstream methods

compute denominator degrees-of-freedom approximations

diagnose model problems

support methods for parametric bootstrapping

confint.glmmTMB

Calculate confidence intervals

The Generalized Poisson Distribution

Repeated counts of salamanders in streams

Adjust a model matrix When not rank deficient, do nothing. When rank deficient matrix, drop columns.

The Conway-Maxwell-Binomial Distribution

Begging by Owl Nestlings

Check for identifiability of fixed effects matrices X, Xzi, Xdisp. When rank_check='adjust', drop columns in X and remove associated parameters.

The Bell Distribution

Seizure Counts for Epileptics - Extended

.collectDuplicates

collapse duplicated observations