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survPen
View on CRAN: Click
here
Download and install survPen package within the R console
Install from CRAN:
install.packages("survPen")
Install from Github:
library("remotes")
install_github("cran/survPen")
Install by package version:
library("remotes")
install_version("survPen", "2.0.2")
Attach the package and use:
library("survPen")
Maintained by
Mathieu Fauvernier
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.survPen . https://github.com/fauvernierma/survPen/issues . https://github.com/fauvernierma/survPen . survPen citation info . survPen results . survPen.pdf . Survival analysis with survPen . survPen_2.0.2.tar.gz . survPen_2.0.2.zip . survPen_2.0.2.zip . survPen_2.0.2.zip . survPen_2.0.2.tgz . survPen_2.0.2.tgz . survPen_2.0.2.tgz . survPen_2.0.2.tgz . survPen archive . https://CRAN.R-project.org/package=survPen .
First Published: 2019-02-27
Latest Update: 2023-09-13
Description:
Fits hazard and excess hazard models with multidimensional penalized splines allowing for time-dependent effects, non-linear effects and interactions between several continuous covariates. In survival and net survival analysis, in addition to modelling the effect of time (via the baseline hazard), one has often to deal with several continuous covariates and model their functional forms, their time-dependent effects, and their interactions. Model specification becomes therefore a complex problem and penalized regression splines represent an appealing solution to that problem as splines offer the required flexibility while penalization limits overfitting issues. Current implementations of penalized survival models can be slow or unstable and sometimes lack some key features like taking into account expected mortality to provide net survival and excess hazard estimates. In contrast, survPen provides an automated, fast, and stable implementation (thanks to explicit calculation of the derivatives of the likelihood) and offers a unified framework for multidimensional penalized hazard and excess hazard models. survPen may be of interest to those who 1) analyse any kind of time-to-event data: mortality, disease relapse, machinery breakdown, unemployment, etc 2) wish to describe the associated hazard and to understand which predictors impact its dynamics. See Fauvernier et al. (2019a) <doi:10.21105/joss.01434> for an overview of the package and Fauvernier et al. (2019b) <doi:10.1111/rssc.12368> for the method.
How to cite:
Mathieu Fauvernier (2019). survPen: Multidimensional Penalized Splines for (Excess) Hazard Models, Relative Mortality Ratio Models and Marginal Intensity Models. R package version 2.0.2, https://cran.r-project.org/web/packages/survPen. Accessed 08 May. 2025.
Previous versions and publish date:
Other packages that cited survPen R package
View survPen citation profile
Other R packages that survPen depends,
imports, suggests or enhances
Complete documentation for survPen
Functions, R codes and Examples using
the survPen R package
Some associated functions: Hess_rho . NR.beta . NR.rho . colSums2 . constraint . cor.var . crs.FP . crs . datCancer . deriv_R . design.matrix . grad_rho . grapes-cross-grapes . grapes-mult-grapes . grapes-vec-grapes . instr . inv.repam . model.cons . predict.survPen . print.summary.survPen . pwcst . rd . repam . smf . smooth.cons.integral . smooth.cons . smooth.spec . summary.survPen . survPen.fit . survPen . survPenObject . tensor.in . tensor.prod.S . tensor.prod.X .
Some associated R codes: RcppExports.R . Full survPen package functions and examples
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