Package: surtvep 1.0.0

Lingfeng Luo

surtvep: Cox Non-Proportional Hazards Model with Time-Varying Coefficients

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>.

Authors:Lingfeng Luo [aut, cre], Wenbo Wu [aut], Kevin He [aut]

surtvep_1.0.0.tar.gz
surtvep_1.0.0.tar.gz(r-4.5-noble)surtvep_1.0.0.tar.gz(r-4.4-noble)
surtvep_1.0.0.tgz(r-4.4-emscripten)surtvep_1.0.0.tgz(r-4.3-emscripten)
surtvep.pdf |surtvep.html
surtvep/json (API)

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

Peer review:

Bug tracker:https://github.com/um-kevinhe/surtvep/issues

Pkgdown:https://um-kevinhe.github.io

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • ExampleData - Example data with 2000 observations of 2 continuous variables
  • ExampleDataBinary - Example data with 2000 observations of 2 binary variables
  • StrataExample - Example data for stratified model illustration
  • support - Study to Understand Prognoses Preferences Outcomes and Risks of Treatment

1.70 score 2 scripts 142 downloads 9 exports 69 dependencies

Last updated 1 years agofrom:6653cdfcf2. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 10 2024
R-4.5-linux-x86_64OKNov 10 2024

Exports:baselinecoxtpcoxtvcv.coxtpget.tvcoefICtvef.phtvef.zerotvef.zero.time

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6RColorBrewerRcppRcppArmadilloRcppEigenrlangrstatixscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr