Package: tranSurv 1.2.2

Sy Han (Steven) Chiou

tranSurv: Transformation Model Based Estimation of Survival and Regression Under Dependent Truncation and Independent Censoring

A latent, quasi-independent truncation time is assumed to be linked with the observed dependent truncation time, the event time, and an unknown transformation parameter via a structural transformation model. The transformation parameter is chosen to minimize the conditional Kendall's tau (Martin and Betensky, 2005) <doi:10.1198/016214504000001538> or the regression coefficient estimates (Jones and Crowley, 1992) <doi:10.2307/2336782>. The marginal distribution for the truncation time and the event time are completely left unspecified. The methodology is applied to survival curve estimation and regression analysis.

Authors:Sy Han Chiou [aut, cre], Jing Qian [aut]

tranSurv_1.2.2.tar.gz
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tranSurv_1.2.2.tgz(r-4.4-x86_64)tranSurv_1.2.2.tgz(r-4.4-arm64)tranSurv_1.2.2.tgz(r-4.3-x86_64)tranSurv_1.2.2.tgz(r-4.3-arm64)
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tranSurv.pdf |tranSurv.html
tranSurv/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/stc04003/transurv/issues

On CRAN:

archivedpackagesr-universe

1.70 score 5 stars 6 scripts 208 downloads 10 exports 14 dependencies

Last updated 2 days agofrom:d984f585db (on package/tranSurv). Checks:OK: 9. Indexed: no.

TargetResultDate
Doc / VignettesOKOct 21 2024
R-4.5-win-x86_64OKOct 21 2024
R-4.5-linux-x86_64OKOct 21 2024
R-4.4-win-x86_64OKOct 21 2024
R-4.4-mac-x86_64OKOct 21 2024
R-4.4-mac-aarch64OKOct 21 2024
R-4.3-win-x86_64OKOct 21 2024
R-4.3-mac-x86_64OKOct 21 2024
R-4.3-mac-aarch64OKOct 21 2024

Exports:cKendallgofis.SurvkendallpmccSurvtrRegtrSurv.controltrSurvfitwKendall

Dependencies:bootdigestgenericslatticeMatrixmaxLikmiscToolsrootSolvesandwichSQUAREMsurvivaltruncregtruncSPzoo