Package: CepReg 0.1.3

CepReg: A Cepstral Model for Covariate-Dependent Time Series

Modeling associations between covariates and power spectra of replicated time series using a cepstral-based semiparametric framework. Implements a fast two-stage estimation procedure via Whittle likelihood and multivariate regression.The methodology is based on Li and Dong (2025) <doi:10.1080/10618600.2025.2473936>.

Authors:Qi Xia [aut, cre], Zeda Li [aut, ctb]

CepReg_0.1.3.tar.gz
CepReg_0.1.3.zip(r-4.7)CepReg_0.1.3.zip(r-4.6)CepReg_0.1.3.zip(r-4.5)
CepReg_0.1.3.tgz(r-4.6-any)CepReg_0.1.3.tgz(r-4.5-any)
CepReg_0.1.3.tar.gz(r-4.7-any)CepReg_0.1.3.tar.gz(r-4.6-any)
CepReg_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CepReg/json (API)

# Install 'CepReg' in R:
install.packages('CepReg', repos = c('https://qiqi70.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.48 score 163 downloads 12 exports 23 dependencies

Last updated from:42c4d8a999. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK108
source / vignettesOK138
linux-release-x86_64OK110
macos-release-arm64OK129
macos-oldrel-arm64OK134
windows-develOK114
windows-releaseOK114
windows-oldrelOK101
wasm-releaseOK101

Exports:boot_effectcep_getCepRegdata_generatereffect_getenv_getgenerate_sigols_getperd_getpsi_getrrr_getspec_regress

Dependencies:codetoolsdigestfuturefuture.applyglobalsGPArotationlatticelistenvMASSMatrixmatrixcalcmnormtnlmenumDerivorthogonalsplinebasisparallellyplspsychRcppRcppArmadilloRenvlpRsolnptruncnorm