Package: CopCTS 1.0.0

CopCTS: Copula-Based Semiparametric Analysis for Time Series Data with Detection Limits

Semiparametric estimation for censored time series with lower detection limit. The latent response is a sequence of stationary process with Markov property of order one. Estimation of copula parameter(COPC) and Conditional quantile estimation are included for five available copula functions. Copula selection methods based on L2 distance from empirical copula function are also included.

Authors:Fuyuan David Li

CopCTS_1.0.0.tar.gz
CopCTS_1.0.0.zip(r-4.7-any)CopCTS_1.0.0.zip(r-4.6-any)CopCTS_1.0.0.zip(r-4.5-any)
CopCTS_1.0.0.tgz(r-4.6-any)CopCTS_1.0.0.tgz(r-4.5-any)
CopCTS_1.0.0.tar.gz(r-4.7-any)CopCTS_1.0.0.tar.gz(r-4.6-any)
CopCTS_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
CopCTS/json (API)

# Install 'CopCTS' in R:
install.packages('CopCTS', repos = c('https://fuyuan-li.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • water - Water quality (Ammonia) data

On CRAN:

Conda:

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

1.00 score 1 stars 4 scripts 327 downloads 4 exports 35 dependencies

Last updated from:ffc936f213. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE133
source / vignettesOK160
linux-releaseNOTE131
macos-releaseNOTE172
macos-oldrelNOTE198
windows-develNOTE93
windows-releaseNOTE89
windows-oldrelNOTE92
wasm-releaseOK104

Exports:condQestCopCestCopCgenLatentYselectCopC

Dependencies:ADGofTestcliclustercolorspacecopBasiccopulaexpmgenericsgluegoftestgsllatticelifecyclelmomcoLmomentsmagrittrMASSMatrixmsmmvtnormnumDerivpcaPPpillarpkgconfigpsplinerandtoolboxRcppRcppArmadillorlangrngWELLstabledistsurvivaltibbleutf8vctrs