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surtvep
View on CRAN: Click
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Download and install surtvep package within the R console
Install from CRAN:
install.packages("surtvep")
Install from Github:
library("remotes")
install_github("cran/surtvep") Install by package version:
library("remotes")
install_version("surtvep", "1.0.0") Attach the package and use:
library("surtvep")
Maintained by
Lingfeng Luo
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-10-17
Latest Update: 2023-10-17
Description:
Fit Cox non-proportional hazards models with time-varying coefficients. Both unpenalized procedures (Newton and proximal Newton) and penalized procedures (P-splines and smoothing splines) are included using B-spline basis functions for estimating time-varying coefficients. For penalized procedures, cross validations, mAIC, TIC or GIC are implemented to select tuning parameters. Utilities for carrying out post-estimation visualization, summarization, point-wise confidence interval and hypothesis testing are also provided. For more information, see Wu et al. (2022) <doi:10.1007/s10985-021-09544-2> and Luo et al. (2023) <doi:10.1177/09622802231181471>.
How to cite:
Lingfeng Luo (2023). surtvep: Cox Non-Proportional Hazards Model with Time-Varying Coefficients. R package version 1.0.0, https://cran.r-project.org/web/packages/surtvep. Accessed 16 Oct. 2026.
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Complete documentation for surtvep
Functions, R codes and Examples using
the surtvep R package
Some associated functions: ExampleData . ExampleDataBinary . IC . StrataExample . baseline . confint.coxtv . coxtp . coxtv . cv.coxtp . get.tvcoef . plot.baseline . plot.coxtp . plot.coxtv . support . tvef.ph . tvef.zero . tvef.zero.time .
Some associated R codes: Data.R . RcppExports.R . baseline.R . confint.coxtp.R . confint.coxtv.R . coxtp.R . coxtp.base.R . coxtp.plot.R . coxtv.R . coxtv.base.R . coxtv.plot.R . cv.coxtp.R . get.tvcoef.R . surtvep-package.R . tvef.ph.R . Full surtvep package functions and examples
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