Package: NLPwavelet 1.0

Nilotpal Sanyal

NLPwavelet: Bayesian Wavelet Analysis Using Non-Local Priors

Package NLPwavelet 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_1.0.tar.gz
NLPwavelet_1.0.zip(r-4.5)NLPwavelet_1.0.zip(r-4.4)NLPwavelet_1.0.zip(r-4.3)
NLPwavelet_1.0.tgz(r-4.5-x86_64)NLPwavelet_1.0.tgz(r-4.5-arm64)NLPwavelet_1.0.tgz(r-4.4-x86_64)NLPwavelet_1.0.tgz(r-4.4-arm64)NLPwavelet_1.0.tgz(r-4.3-x86_64)NLPwavelet_1.0.tgz(r-4.3-arm64)
NLPwavelet_1.0.tar.gz(r-4.5-noble)NLPwavelet_1.0.tar.gz(r-4.4-noble)
NLPwavelet_1.0.tgz(r-4.4-emscripten)NLPwavelet_1.0.tgz(r-4.3-emscripten)
NLPwavelet.pdf |NLPwavelet.html
NLPwavelet/json (API)
NEWS

# 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

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

On CRAN:

openblascppopenmp

2.70 score 1 exports 4 dependencies

Last updated 9 days agofrom:d6b77d2321. Checks:11 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 14 2025
R-4.5-win-x86_64OKFeb 14 2025
R-4.5-mac-x86_64OKFeb 14 2025
R-4.5-mac-aarch64OKFeb 14 2025
R-4.5-linux-x86_64OKFeb 14 2025
R-4.4-win-x86_64OKFeb 14 2025
R-4.4-mac-x86_64OKFeb 14 2025
R-4.4-mac-aarch64OKFeb 14 2025
R-4.3-win-x86_64OKFeb 14 2025
R-4.3-mac-x86_64OKFeb 14 2025
R-4.3-mac-aarch64OKFeb 14 2025

Exports:BNLPWA

Dependencies:MASSRcppRcppArmadillowavethresh