summary.sdreport

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

object

Parameter classes to select. Can be any subset of
<code>"fixed"</code> ($\hat\theta$), <code>"random"</code> ($\hat u$) or
<code>"report"</code> ($\phi(\hat u,\hat\theta)$) using notation as
<code><a rd-options="" href="/link/sdreport?package=TMB&version=1.7.4" data-mini-rdoc="TMB::sdreport">sdreport</a></code>.

select

p.value


Extract parameters, random effects and reported variables along
with uncertainties and optionally Chi-square statistics. Bias
corrected quantities are added as additional columns if available.


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'

summary.sdreport function

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

Parameter classes to select. Can be any subset of
<code>"fixed"</code> ($\hat\theta$), <code>"random"</code> ($\hat u$) or
<code>"report"</code> ($\phi(\hat u,\hat\theta)$) using notation as
<code><a rd-options='' href='sdreport'>sdreport</a></code>.

summary.sdreport: summary tables of model parameters

Description

Usage

Arguments

Value