Package: surtvep 1.0.0
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:
surtvep_1.0.0.tar.gz
surtvep_1.0.0.tar.gz(r-4.7-arm64)surtvep_1.0.0.tar.gz(r-4.7-x86_64)surtvep_1.0.0.tar.gz(r-4.6-arm64)surtvep_1.0.0.tar.gz(r-4.6-x86_64)
surtvep_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
surtvep/json (API)
| # Install 'surtvep' in R: |
| install.packages('surtvep', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/um-kevinhe/surtvep/issues
Pkgdown/docs site:https://um-kevinhe.github.io
- 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
Last updated from:6653cdfcf2. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 166 | ||
| linux-devel-x86_64 | OK | 189 | ||
| source / vignettes | OK | 238 | ||
| linux-release-arm64 | OK | 175 | ||
| linux-release-x86_64 | OK | 182 | ||
| wasm-release | OK | 143 |
Exports:baselinecoxtpcoxtvcv.coxtpget.tvcoefICtvef.phtvef.zerotvef.zero.time
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecorrplotcowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
