Package: flexhaz 0.5.2
flexhaz: Dynamic Failure Rate Distributions for Survival Analysis
Flexible framework for specifying survival distributions through their hazard (failure rate) functions. Define arbitrary time-varying hazard functions to model complex failure patterns including bathtub curves, proportional hazards with covariates, and other non-standard hazard behaviors. Provides automatic computation of survival, CDF, PDF, quantiles, and sampling. Implements the likelihood model interface for maximum likelihood estimation with right-censored and left-censored survival data.
Authors:
flexhaz_0.5.2.tar.gz
flexhaz_0.5.2.zip(r-4.7-any)flexhaz_0.5.2.zip(r-4.6-any)flexhaz_0.5.2.zip(r-4.5-any)
flexhaz_0.5.2.tgz(r-4.6-any)flexhaz_0.5.2.tgz(r-4.5-any)
flexhaz_0.5.2.tar.gz(r-4.7-any)flexhaz_0.5.2.tar.gz(r-4.6-any)
flexhaz_0.5.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
flexhaz/json (API)
| # Install 'flexhaz' in R: |
| install.packages('flexhaz', repos = c('https://queelius.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/queelius/flexhaz/issues
Pkgdown/docs site:https://queelius.github.io
automatic-differentiationcensored-datafailure-ratehazard-functionlikelihood-functionsmlereliabilitystatistical-inferencesurvival-analysis
Last updated from:2cde3faff8. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 154 | ||
| source / vignettes | OK | 181 | ||
| linux-release-x86_64 | OK | 129 | ||
| macos-release-arm64 | OK | 102 | ||
| macos-oldrel-arm64 | OK | 136 | ||
| windows-devel-x86_64 | OK | 76 | ||
| windows-release-x86_64 | OK | 112 | ||
| windows-oldrel-x86_64 | OK | 84 | ||
| wasm-release | OK | 106 |
Exports:assumptionscdfcum_hazdfr_distdfr_exponentialdfr_gompertzdfr_loglogisticdfr_weibullfithazardhess_loglikinv_cdfis_dfr_distis_likelihood_modelloglikparamsqqplot_residualssamplerscoresupsurv
Dependencies:algebraic.distalgebraic.mlebootgenericslikelihood.modelMASSmvtnormnumDerivR6
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