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