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survivalMPL  

Penalised Maximum Likelihood for Survival Analysis Models
View on CRAN: Click here


Download and install survivalMPL package within the R console
Install from CRAN:
install.packages("survivalMPL")

Install from Github:
library("remotes")
install_github("cran/survivalMPL")

Install by package version:
library("remotes")
install_version("survivalMPL", "0.2-3")



Attach the package and use:
library("survivalMPL")
Maintained by
Dominique-Laurent Couturier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-04-03
Latest Update: 2022-11-21
Description:
Estimate the regression coefficients and the baseline hazard of proportional hazard Cox models with left, right or interval censored survival data using maximum penalised likelihood. A 'non-parametric' smooth estimate of the baseline hazard function is provided.
How to cite:
Dominique-Laurent Couturier (2014). survivalMPL: Penalised Maximum Likelihood for Survival Analysis Models. R package version 0.2-3, https://cran.r-project.org/web/packages/survivalMPL. Accessed 02 Feb. 2025.
Previous versions and publish date:
0.1.0 (2014-04-03 06:02), 0.1.1 (2014-08-30 23:16), 0.1.2 (2017-10-13 23:11), 0.2-1 (2021-11-15 10:00), 0.2-2 (2022-11-21 01:30), 0.2 (2017-12-11 20:04)
Other packages that cited survivalMPL R package
View survivalMPL citation profile
Other R packages that survivalMPL depends, imports, suggests or enhances
Complete documentation for survivalMPL
Functions, R codes and Examples using the survivalMPL R package
Some associated functions: bcos2 . coef.coxph_mpl . coxph_mpl.control . coxph_mpl . coxph_mplject . plot.coxph_mpl . predict.coxph_mpl . residuals.coxph_mpl . summary.coxph_mpl . survivalMPL-package . 
Some associated R codes: methods.R .  Full survivalMPL package functions and examples
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