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sns: Stochastic Newton Sampler (SNS)

Stochastic Newton Sampler (SNS) is a Metropolis-Hastings-based, Markov Chain Monte Carlo sampler for twice differentiable, log-concave probability density functions (PDFs) where the proposal density function is a multivariate Gaussian resulting from a second-order Taylor-series expansion of log-density around the current point. The mean of the Gaussian proposal is the full Newton-Raphson step from the current point. A Boolean flag allows for switching from SNS to Newton-Raphson optimization (by choosing the mean of proposal function as next point). This can be used during burn-in to get close to the mode of the PDF (which is unique due to concavity). For high-dimensional densities, mixing can be improved via 'state space partitioning' strategy, in which SNS is applied to disjoint subsets of state space, wrapped in a Gibbs cycle. Numerical differentiation is available when analytical expressions for gradient and Hessian are not available. Facilities for validation and numerical differentiation of log-density are provided. Note: Formerly available versions of the MfUSampler can be obtained from the archive <https://cran.r-project.org/src/contrib/Archive/MfUSampler/>.

Version: 1.2.2
Imports: mvtnorm, coda, numDeriv
Suggests: RegressionFactory, MfUSampler
Published: 2022-11-02
Author: Alireza S. Mahani, Asad Hasan, Marshall Jiang, Mansour T.A. Sharabiani
Maintainer: Alireza Mahani <alireza.s.mahani at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: sns citation info
Materials: ChangeLog
CRAN checks: sns results

Documentation:

Reference manual: sns.pdf
Vignettes: Stochastic Newton Sampler: The R Package sns

Downloads:

Package source: sns_1.2.2.tar.gz
Windows binaries: r-devel: sns_1.2.2.zip, r-release: sns_1.2.2.zip, r-oldrel: sns_1.2.2.zip
macOS binaries: r-release (arm64): sns_1.2.2.tgz, r-oldrel (arm64): sns_1.2.2.tgz, r-release (x86_64): sns_1.2.2.tgz, r-oldrel (x86_64): sns_1.2.2.tgz
Old sources: sns archive

Reverse dependencies:

Reverse suggests: MfUSampler, RegressionFactory

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sns to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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