Package: smlePH 0.1.0

smlePH: Sieve Maximum Full Likelihood Estimation for the Right-censored Proportional Hazards Model

Fitting the full likelihood proportional hazards model and extracting the residuals.

Authors:Susan Halabi [aut], Taehwa Choi [aut, cre], Yuan Wu [aut]

smlePH_0.1.0.tar.gz
smlePH_0.1.0.zip(r-4.5)smlePH_0.1.0.zip(r-4.4)smlePH_0.1.0.zip(r-4.3)
smlePH_0.1.0.tgz(r-4.4-any)smlePH_0.1.0.tgz(r-4.3-any)
smlePH_0.1.0.tar.gz(r-4.5-noble)smlePH_0.1.0.tar.gz(r-4.4-noble)
smlePH_0.1.0.tgz(r-4.4-emscripten)smlePH_0.1.0.tgz(r-4.3-emscripten)
smlePH.pdf |smlePH.html✨
smlePH/json (API)

# Install 'smlePH' in R:
install.packages('smlePH', repos = c('https://taehwa015.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/taehwa015/smleph/issues

On CRAN:

4.18 score 1 scripts 482 downloads 2 exports 4 dependencies

Last updated 8 months agofrom:bbe2639c4f. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 15 2024
R-4.5-winOKOct 15 2024
R-4.5-linuxOKOct 15 2024
R-4.4-winOKOct 15 2024
R-4.4-macOKOct 15 2024
R-4.3-winOKOct 15 2024
R-4.3-macOKOct 15 2024

Exports:smle_phsmle_resid

Dependencies:MASSRcppRcppArmadillosplines2

Introduction to smlePH package

Susan Halabi, Taehwa Choi, Yuan Wu

Rendered fromsmlePH.Rmdusingknitr::rmarkdownon Oct 15 2024.

Last update: 2024-03-19
Started: 2024-03-19