TMB

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

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

Create minimal R-code corresponding to a cpp template.

Convert estimates to original list format.

Benchmark parallel templates

Check consistency and Laplace accuracy

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

Get or set internal configuration variables

Profile based confidence intervals.

Add dynlib extension

Source R-script through gdb to get backtrace.

Generalized newton optimizer.

Set newton options for a model object.

Normalize process likelihood using the Laplace approximation.

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

Control number of openmp threads.

Plot likelihood profile.

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

Print output from checkConsistency

Print brief model summary

Run one of the test examples.

Run symbolic analysis on sparse Hessian

General sdreport function.

Summarize output from checkConsistency

summary tables of model parameters

Create cpp template to get started.

Adaptive likelihood profiling.

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