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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