Reference

All functions
FreeADFun()	Free memory allocated on the C++ side by MakeADFun.
GK()	Gauss Kronrod configuration
MakeADFun()	Construct objective functions with derivatives based on a compiled C++ template.
Rinterface()	Create minimal R-code corresponding to a cpp template.
SR()	Sequential reduction configuration
TMB.Version()	Version information on API and ABI.
as.list(<sdreport>)	Convert estimates to original list format.
benchmark() plot(<parallelBenchmark>)	Benchmark parallel templates
checkConsistency()	Check consistency and Laplace accuracy
compile()	Compile a C++ template to DLL suitable for MakeADFun.
config()	Get or set internal configuration variables
confint(<tmbprofile>)	Profile based confidence intervals.
dynlib()	Add dynlib extension
gdbsource() print(<backtrace>)	Source R-script through gdb to get backtrace.
newton()	Generalized newton optimizer.
newtonOption()	Set newton options for a model object.
normalize()	Normalize process likelihood using the Laplace approximation.
oneStepPredict()	Calculate one-step-ahead (OSA) residuals for a latent variable model.
openmp()	Control number of OpenMP threads used by a TMB model.
plot(<tmbprofile>)	Plot likelihood profile.
precompile()	Precompile the TMB library in order to speed up compilation of templates.
print(<checkConsistency>)	Print output from checkConsistency
print(<sdreport>)	Print brief model summary
runExample()	Run one of the test examples.
runSymbolicAnalysis()	Run symbolic analysis on sparse Hessian
sdreport()	General sdreport function.
summary(<checkConsistency>)	Summarize output from checkConsistency
summary(<sdreport>)	summary tables of model parameters
template()	Create cpp template to get started.
tmbprofile()	Adaptive likelihood profiling.
tmbroot()	Compute likelihood profile confidence intervals of a TMB object by root-finding