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TMB (version 1.9.18)

Template Model Builder: A General Random Effect Tool Inspired by 'ADMB'

Description

With this tool, a user should be able to quickly implement complex random effect models through simple C++ templates. The package combines 'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an efficient implementation of the applied Laplace approximation with exact derivatives. Key features are: Automatic sparseness detection, parallelism through 'BLAS' and parallel user templates.

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Version

Install

install.packages('TMB')

Monthly Downloads

51,374

Version

1.9.18

License

GPL-2

Issues

68

Pull Requests

4

Stars

190

Forks

85

Maintainer

Kasper Kristensen

Last Published

October 13th, 2025

Functions in TMB (1.9.18)

newton

Generalized newton optimizer.
confint.tmbprofile

Profile based confidence intervals.
config

Get or set internal configuration variables
TMB.Version

Version information on API and ABI.
print.checkConsistency

Print output from checkConsistency
precompile

Precompile the TMB library in order to speed up compilation of templates.
dynlib

Add dynlib extension
gdbsource

Source R-script through gdb to get backtrace.
normalize

Normalize process likelihood using the Laplace approximation.
sdreport

General sdreport function.
runSymbolicAnalysis

Run symbolic analysis on sparse Hessian
summary.sdreport

summary tables of model parameters
tmbroot

Compute likelihood profile confidence intervals of a TMB object by root-finding
summary.checkConsistency

Summarize output from checkConsistency
oneStepPredict

Calculate one-step-ahead (OSA) residuals for a latent variable model.
newtonOption

Set newton options for a model object.
template

Create cpp template to get started.
tmbprofile

Adaptive likelihood profiling.
openmp

Control number of OpenMP threads used by a TMB model.
plot.tmbprofile

Plot likelihood profile.
print.sdreport

Print brief model summary
runExample

Run one of the test examples.
GK

Gauss Kronrod configuration
SR

Sequential reduction configuration
as.list.sdreport

Convert estimates to original list format.
compile

Compile a C++ template to DLL suitable for MakeADFun.
checkConsistency

Check consistency and Laplace accuracy
benchmark

Benchmark parallel templates
FreeADFun

Free memory allocated on the C++ side by MakeADFun.
Rinterface

Create minimal R-code corresponding to a cpp template.
MakeADFun

Construct objective functions with derivatives based on a compiled C++ template.