Package: interval 1.1-1.0
Michael P. Fay
interval: Weighted Logrank Tests and NPMLE for Interval Censored Data
Functions to fit nonparametric survival curves, plot them, and perform logrank or Wilcoxon type tests [see Fay and Shaw <doi:10.18637/jss.v036.i02>].
Authors:
interval_1.1-1.0.tar.gz
interval_1.1-1.0.tar.gz(r-4.5-noble)interval_1.1-1.0.tar.gz(r-4.4-noble)
interval_1.1-1.0.tgz(r-4.4-emscripten)interval_1.1-1.0.tgz(r-4.3-emscripten)
interval.pdf |interval.html✨
interval/json (API)
NEWS
# Install 'interval' in R: |
install.packages('interval', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- bcos - Breast Cosmesis Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:0b6ec1560e. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 17 2024 |
R-4.5-linux | NOTE | Dec 17 2024 |
Exports:AintmapgetsurvicfiticfitBootCIicfitControlicScoreTestictesticWSRinitcomputeMLEinitEMICMmControlmethodRuleIC1scoresFromFitSurvLRwlr_trafowsrHLYpcltwsrMC
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Tests and NPMLE for interval censored data | interval-package interval |
Create A matrix and intmap | Aintmap |
Breast Cosmesis Data | bcos |
get survival values from icfit object | getsurv |
calculate non-parametric MLE for interval censored survival function | icfit icfit.default icfit.formula |
Auxiliary for controling icfit | icfitControl |
do logrank or Wilcoxon type tests on interval censored data | ictest ictest.default ictest.formula wlr_trafo wlr_trafo.data.frame wlr_trafo.default wlr_trafo.Surv |
functions to calculate initial NPMLE of the distribution | initcomputeMLE initEMICM |
Auxiliary for feeding parameters to different methods | mControl |
Rule for determining method for ictest | methodRuleIC1 |
Plot icfit object | plot.icfit |
Methods for icfit objects | print.icfit summary.icfit [.icfit |
Transform Surv object to data frame with L and R values | SurvLR |