print.sdreport

Output from <code><a rd-options="" href="/link/sdreport?package=TMB&version=1.7.4" data-mini-rdoc="TMB::sdreport">sdreport</a></code>


Print parameter estimates and give convergence diagnostic based on
gradient and Hessian.


With this tool, a user should be able to quickly implement complex
random effect models through simple C++ templates. The package combines
'CppAD' (C++ automatic differentiation), 'Eigen' (templated matrix-vector
library) and 'CHOLMOD' (sparse matrix routines available from R) to obtain an
efficient implementation of the applied Laplace approximation with exact
derivatives. Key features are: Automatic sparseness detection, parallelism
through 'BLAS' and parallel user templates.

Kasper Kristensen

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

print.sdreport function

Output from <code><a rd-options='' href='sdreport'>sdreport</a></code>

print.sdreport: Print brief model summary

Description

Usage

Arguments