Package: NLPwavelet 1.1

Nilotpal Sanyal

NLPwavelet: Bayesian Wavelet Analysis Using Non-Local Priors

Performs Bayesian wavelet analysis using individual non-local priors as described in Sanyal & Ferreira (2017) <doi:10.1007/s13571-016-0129-3> and non-local prior mixtures as described in Sanyal (2025) <doi:10.48550/arXiv.2501.18134>.

Authors:Nilotpal Sanyal [aut, cre]

NLPwavelet_1.1.tar.gz
NLPwavelet_1.1.zip(r-4.7)NLPwavelet_1.1.zip(r-4.6)NLPwavelet_1.1.zip(r-4.5)
NLPwavelet_1.1.tgz(r-4.6-x86_64)NLPwavelet_1.1.tgz(r-4.6-arm64)NLPwavelet_1.1.tgz(r-4.5-x86_64)NLPwavelet_1.1.tgz(r-4.5-arm64)
NLPwavelet_1.1.tar.gz(r-4.7-arm64)NLPwavelet_1.1.tar.gz(r-4.7-x86_64)NLPwavelet_1.1.tar.gz(r-4.6-arm64)NLPwavelet_1.1.tar.gz(r-4.6-x86_64)
NLPwavelet_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
NLPwavelet/json (API)

# Install 'NLPwavelet' in R:

install.packages('NLPwavelet', repos = c('https://nilotpalsanyal.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/nilotpalsanyal/nlpwavelet/issues

Pkgdown/docs site:https://nilotpalsanyal.github.io

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3
openmp– GCC OpenMP (GOMP) support library

On CRAN:

openblas cpp openmp

2.70 score 223 downloads 1 exports 4 dependencies

Last updated from:c83770ab7c. Checks:11 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	122
linux-devel-x86_64	NOTE	125
source / vignettes	OK	188
linux-release-arm64	NOTE	157
linux-release-x86_64	NOTE	117
macos-release-arm64	NOTE	108
macos-release-x86_64	NOTE	226
macos-oldrel-arm64	NOTE	125
macos-oldrel-x86_64	NOTE	312
windows-devel	NOTE	108
windows-release	NOTE	103
windows-oldrel	NOTE	97
wasm-release	OK	113