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GORCure
View on CRAN: Click
here
Download and install GORCure package within the R console
Install from CRAN:
install.packages("GORCure")
Install from Github:
library("remotes")
install_github("cran/GORCure")
Install by package version:
library("remotes")
install_version("GORCure", "2.0")
Attach the package and use:
library("GORCure")
Maintained by
Jie Zhou
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-21
Latest Update: 2017-01-13
Description:
Generalized Odds Rate Mixture Cure (GORMC) model is a flexible model of fitting survival data with a cure fraction, including the Proportional Hazards Mixture Cure (PHMC) model and the Proportional Odds Mixture Cure Model as special cases. This package fit the GORMC model with interval censored data.
How to cite:
Jie Zhou (2016). GORCure: Fit Generalized Odds Rate Mixture Cure Model with Interval Censored Data. R package version 2.0, https://cran.r-project.org/web/packages/GORCure
Previous versions and publish date:
1.0 (2016-03-21 22:58)
Other packages that cited GORCure R package
View GORCure citation profile
Other R packages that GORCure depends,
imports, suggests or enhances
Functions, R codes and Examples using
the GORCure R package
Some associated functions: GORCure-package . GORMC . plot.predict.GORMC . predict.GORMC . summary.GORMC .
Some associated R codes: EM.Iter.R . GORMC.R . Louis.VCOV.R . VCOV.calc.R . bb.gamma.R . bb.gamma0.R . gg.beta.R . gg.beta0.R . loglik.R . plot.predict.GORMC.R . predict.GORMC.R . print.GORMC.R . print.summary.GORMC.R . summary.GORMC.R . Full GORCure package functions and examples
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