Package: survivalMPLdc 0.1.1

survivalMPLdc: Penalised Likelihood for Survival Analysis with Dependent Censoring

Fitting Cox proportional hazard model under dependent right censoring using copula and maximum penalised likelihood methods.

Authors:Jing Xu [aut, cre], Jun Ma [aut], Thomas Fung [aut]

survivalMPLdc_0.1.1.tar.gz
survivalMPLdc_0.1.1.zip(r-4.5)survivalMPLdc_0.1.1.zip(r-4.4)survivalMPLdc_0.1.1.zip(r-4.3)
survivalMPLdc_0.1.1.tgz(r-4.5-any)survivalMPLdc_0.1.1.tgz(r-4.4-any)survivalMPLdc_0.1.1.tgz(r-4.3-any)
survivalMPLdc_0.1.1.tar.gz(r-4.5-noble)survivalMPLdc_0.1.1.tar.gz(r-4.4-noble)
survivalMPLdc_0.1.1.tgz(r-4.4-emscripten)survivalMPLdc_0.1.1.tgz(r-4.3-emscripten)
survivalMPLdc.pdf |survivalMPLdc.html✨
survivalMPLdc/json (API)
NEWS

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

Bug tracker:https://github.com/kenny-jing-xu/survivalmpldc/issues

Datasets:

On CRAN:

Conda:

3.70 score 1 stars 4 scripts 123 downloads 3 exports 16 dependencies

Last updated 4 years agofrom:431bed2411. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 19 2025
R-4.5-winNOTEMar 19 2025
R-4.5-macNOTEMar 19 2025
R-4.5-linuxNOTEMar 19 2025
R-4.4-winNOTEMar 19 2025
R-4.4-macNOTEMar 19 2025
R-4.4-linuxNOTEMar 19 2025
R-4.3-winOKMar 19 2025
R-4.3-macOKMar 19 2025

Exports:coxph_mpl_dccoxph_mpl_dc.controlsurv_data_dc

Dependencies:ADGofTestcolorspacecopulagsllatticeMatrixmatrixcalcmvtnormnumDerivpcaPPpsplineRcppRcppArmadillosplines2stabledistsurvival

survivalMPLdc

Jing Xu, Thomas Fung and Jun Ma

Rendered fromREADME.Rmdusingknitr::rmarkdownon Mar 19 2025.

Last update: 2020-10-06
Started: 2020-08-14