Package: NPCox 1.3

NPCox: Nonparametric and Semiparametric Proportional Hazards Model

An estimation procedure for the analysis of nonparametric proportional hazards model (e.g. h(t) = h0(t)exp(b(t)'Z)), providing estimation of b(t) and its pointwise standard errors, and semiparametric proportional hazards model (e.g. h(t) = h0(t)exp(b(t)'Z1 + c*Z2)), providing estimation of b(t), c and their standard errors. More details can be found in Lu Tian et al. (2005) <doi:10.1198/016214504000000845>.

Authors:Qi Yang [aut, cre], Kuan Yang [aut], Xiaoxuan Liu [ctb], Xinyuan Song [ctb]

NPCox_1.3.tar.gz
NPCox_1.3.zip(r-4.5)NPCox_1.3.zip(r-4.4)NPCox_1.3.zip(r-4.3)
NPCox_1.3.tgz(r-4.4-any)NPCox_1.3.tgz(r-4.3-any)
NPCox_1.3.tar.gz(r-4.5-noble)NPCox_1.3.tar.gz(r-4.4-noble)
NPCox_1.3.tgz(r-4.4-emscripten)NPCox_1.3.tgz(r-4.3-emscripten)
NPCox.pdf |NPCox.html
NPCox/json (API)

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

Peer review:

Datasets:
  • pbc - Mayo Clinic Primary Biliary Cholangitis Data

On CRAN:

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

1.30 score 3 scripts 338 downloads 5 exports 11 dependencies

Last updated 1 months agofrom:835d99b6b7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 14 2024
R-4.5-winOKNov 14 2024
R-4.5-linuxOKNov 14 2024
R-4.4-winOKNov 14 2024
R-4.4-macOKNov 14 2024
R-4.3-winOKNov 14 2024
R-4.3-macOKNov 14 2024

Exports:bandselectnpcoxnpplotnpsimuspcox

Dependencies:clicrayongluehmslifecyclepkgconfigprettyunitsprogressR6rlangvctrs