optimResultNimbleList

<code><a rd-options="" href="/link/nimbleList?package=nimble&version=0.7.0" data-mini-rdoc="nimble::nimbleList">nimbleList</a></code> definition for the type of <code><a rd-options="" href="/link/nimbleList?package=nimble&version=0.7.0" data-mini-rdoc="nimble::nimbleList">nimbleList</a></code> returned by <code><a rd-options="" href="/link/nimOptim?package=nimble&version=0.7.0" data-mini-rdoc="nimble::nimOptim">nimOptim</a></code>.

datasets

A system for writing hierarchical statistical models largely compatible with 'BUGS' and 'JAGS', writing nimbleFunctions to operate models and do basic R-style math, and compiling both models and nimbleFunctions via custom-generated C++. 'NIMBLE' includes default methods for MCMC, particle filtering, Monte Carlo Expectation Maximization, and some other tools. The nimbleFunction system makes it easy to do things like implement new MCMC samplers from R, customize the assignment of samplers to different parts of a model from R, and compile the new samplers automatically via C++ alongside the samplers 'NIMBLE' provides. 'NIMBLE' extends the 'BUGS'/'JAGS' language by making it extensible: New distributions and functions can be added, including as calls to external compiled code. Although most people think of MCMC as the main goal of the 'BUGS'/'JAGS' language for writing models, one can use 'NIMBLE' for writing arbitrary other kinds of model-generic algorithms as well. A full User Manual is available at <https://r-nimble.org>.

Christopher Paciorek

nimble

MCMC, Particle Filtering, and Programmable Hierarchical Modeling

optimResultNimbleList function

An object of class <code>list</code> of length 1.

Format

<dl class="dl-horizontal">
<dt><code>par</code></dt><dd>The best set of parameters found.</dd></dl><dt><code>value</code></dt><dd>The value of fn corresponding to par.</dd><dt><code>counts</code></dt><dd>A two-element integer vector giving the number of calls to fn and gr respectively.</dd><dt><code>convergence</code></dt><dd>An integer code. 0 indicates successful completion. Possible error codes are
1 indicates that the iteration limit maxit had been reached.
10 indicates degeneracy of the Nelder-Mead simplex.
51 indicates a warning from the "L-BFGS-B" method; see component message for further details.
52 indicates an error from the "L-BFGS-B" method; see component message for further details.</dd><dt><code>message</code></dt><dd>A character string giving any additional information returned by the optimizer, or NULL.</dd><dt><code>hessian</code></dt><dd>Only if argument hessian is true. A symmetric matrix giving an estimate of the Hessian at the solution found.</dd>

Fields

<code><a rd-options='' href='nimbleList'>nimbleList</a></code> definition for the type of <code><a rd-options='' href='nimbleList'>nimbleList</a></code> returned by <code><a rd-options='' href='nimOptim'>nimOptim</a></code>.

EXPERIMENTAL Data type for the return value of <code><a rd-options='' href='nimOptim'>nimOptim</a></code> — optimResultNimbleList

EXPERIMENTAL Data type for the return value of <code><a rd-options='' href='nimOptim'>nimOptim</a></code>

EXPERIMENTAL Data type for the return value of <code><a rd-options="" href="/link/nimOptim?package=nimble&version=0.7.0" data-mini-rdoc="nimble::nimOptim">nimOptim</a></code>

optimResultNimbleList: EXPERIMENTAL Data type for the return value of `nimOptim`

Description

Usage

Arguments

Format

Fields

See Also