Package: EMGCR 0.2.0

Jalmar M. F. Carrasco

EMGCR: Fit a Mixture Cure Rate Model with Custom Link Function

Tools to fit Mixture Cure Rate models via the Expectation-Maximization (EM) algorithm, allowing for flexible link functions in the cure component and various survival distributions in the latency part. The package supports user-specified link functions, includes methods for parameter estimation and model diagnostics, and provides residual analysis tailored for cure models. The classical theory methods used are described in Berkson, J. and Gage, R. P. (1952) <doi:10.2307/2281318>, Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977) <https://www.jstor.org/stable/2984875>, Bazán, J., Torres-Avilés, F., Suzuki, A. and Louzada, F. (2017)<doi:10.1002/asmb.2215>.

Authors:Chaeyeon Yoo [aut], Dipak K. Dey [aut], Victor H. Lachos [aut], Jalmar M. F. Carrasco [aut, cre]

EMGCR_0.2.0.tar.gz
EMGCR_0.2.0.tar.gz(r-4.7-any)EMGCR_0.2.0.tar.gz(r-4.6-any)
EMGCR_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
EMGCR/json (API)

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

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 2 scripts 141 downloads 3 exports 60 dependencies

Last updated from:954f5d67e8. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK152
source / vignettesOK237
linux-release-x86_64OK157
wasm-releaseOK120

Exports:MCRfitqqMCRrMCM

Dependencies:actuarassertthatbbmlebdsmatrixclicpp11data.tabledeSolvedplyrevaluateexpintfarverfastGHQuadflexsurvFormulagenericsggplot2gluegtablehighrisobandknitrlabelinglatticelifecyclelsodamagrittrMASSMatrixmgcvmstatemuhazmvtnormnlmenumDerivpillarpkgconfigpurrrquadprogR6RColorBrewerRcppRcppArmadillorlangrstpm2S7scalesstatmodstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxfunyaml