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

## Documentation for package ‘TMB’ version 1.7.16

- DESCRIPTION file.
- Package NEWS.

## Help Pages

as.list.sdreport | Convert estimates to original list format.
benchmark | 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 | Source R-script through gdb to get backtrace.
MakeADFun | Construct objective functions with derivatives based on a compiled C++ template.
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.
plot.parallelBenchmark | Benchmark parallel templates
plot.tmbprofile | Plot likelihood profile.
precompile | Precompile the TMB library in order to speed up compilation of templates.
print.backtrace | Source R-script through gdb to get backtrace.
print.checkConsistency | Print output from 'checkConsistency'
print.sdreport | Print brief model summary
Rinterface | Create minimal R-code corresponding to a cpp template.
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