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

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Documentation for package ‘TMB’ version 1.9.11

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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
FreeADFun Free memory allocated on the C++ side by 'MakeADFun'.
gdbsource Source R-script through gdb to get backtrace.
GK Gauss Kronrod configuration
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 used by a TMB model.
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.
SR Sequential reduction configuration
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