CRAN/E | SequenceSpikeSlab

SequenceSpikeSlab

Exact Bayesian Model Selection Methods for the Sparse Normal Sequence Model

Installation

About

Contains fast functions to calculate the exact Bayes posterior for the Sparse Normal Sequence Model, implementing the algorithms described in Van Erven and Szabo (2021, doi:10.1214/20-BA1227). For general hierarchical priors, sample sizes up to 10,000 are feasible within half an hour on a standard laptop. For beta-binomial spike-and-slab priors, a faster algorithm is provided, which can handle sample sizes of 100,000 in half an hour. In the implementation, special care has been taken to assure numerical stability of the methods even for such large sample sizes.

Citation SequenceSpikeSlab citation info

Key Metrics

Version 1.0.1
Published 2023-09-08 238 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks SequenceSpikeSlab results

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Maintainer

Maintainer

Tim van Erven

tim@timvanerven.nl

Authors

Steven de Rooij

aut

Tim van Erven

cre / aut

Botond Szabo

aut

Material

NEWS
Reference manual
Package source

Vignettes

SequenceSpikeSlab-vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SequenceSpikeSlab archive

Imports

Rcpp ≥ 0.12.18
RcppProgress ≥ 0.4.1
selectiveInference ≥ 1.2.5

Suggests

knitr
rmarkdown

LinkingTo

Rcpp
RcppProgress