Package: maskedhaz 0.1.0
maskedhaz: Masked-Cause Likelihood Models for Series Systems with Arbitrary Hazard Components
Likelihood-based inference for series systems with masked component cause of failure, using arbitrary dynamic failure rate component distributions. Computes log-likelihood, score, Hessian, and maximum likelihood estimates for masked data satisfying conditions C1, C2, C3 under general component hazard functions. Implements the 'series_md' protocol defined in the 'maskedcauses' package.
Authors:
maskedhaz_0.1.0.tar.gz
maskedhaz_0.1.0.zip(r-4.7)maskedhaz_0.1.0.zip(r-4.6)maskedhaz_0.1.0.zip(r-4.5)
maskedhaz_0.1.0.tgz(r-4.6-any)maskedhaz_0.1.0.tgz(r-4.5-any)
maskedhaz_0.1.0.tar.gz(r-4.7-any)maskedhaz_0.1.0.tar.gz(r-4.6-any)
maskedhaz_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
maskedhaz/json (API)
NEWS
| # Install 'maskedhaz' in R: |
| install.packages('maskedhaz', repos = c('https://queelius.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/queelius/maskedhaz/issues
Pkgdown/docs site:https://queelius.github.io
censored-datahazard-functionlikelihood-functionsmasked-datamlereliabilityseries-systemssurvival-analysis
Last updated from:bc6ef67863. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 136 | ||
| source / vignettes | OK | 170 | ||
| linux-release-x86_64 | OK | 129 | ||
| macos-release-arm64 | OK | 86 | ||
| macos-oldrel-arm64 | OK | 69 | ||
| windows-devel | OK | 74 | ||
| windows-release | OK | 86 | ||
| windows-oldrel | OK | 78 | ||
| wasm-release | OK | 98 |
Exports:assumptionscause_probabilitycomponentcomponent_hazardconditional_cause_probabilitycum_hazdfr_dist_seriesdfr_exponentialdfr_gompertzdfr_loglogisticdfr_series_mddfr_weibullfithazardhess_loglikis_dfr_dist_seriesis_dfr_series_mdloglikncomponentsparam_layoutparamsrdatasample_componentssamplerscoresurv
Dependencies:algebraic.distalgebraic.mlebootdist.structureflexhazgenericslikelihood.modelmaskedcausesMASSmvtnormnumDerivR6serieshaz
Censoring Types and Masked Causes
Rendered fromcensoring-and-masking.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2026-04-14
Started: 2026-04-14
Hypothesis Testing on Fitted Models
Rendered fromhypothesis-tests.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2026-04-14
Started: 2026-04-14
maskedhaz: Masked-Cause Likelihood for General Series Systems
Rendered frommaskedhaz.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2026-04-14
Started: 2026-04-14
Mixed-Distribution Series Systems
Rendered fromcustom-components.Rmdusingknitr::rmarkdownon May 24 2026.Last update: 2026-04-14
Started: 2026-04-14
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Assumptions for masked-cause DFR series systems | assumptions.dfr_series_md |
| Marginal cause-of-failure probability for DFR series systems | cause_probability.dfr_series_md |
| Component hazard for a masked-cause DFR series system | component_hazard.dfr_series_md |
| Conditional cause-of-failure probability for DFR series systems | conditional_cause_probability.dfr_series_md |
| Masked-Cause Likelihood Model for DFR Series Systems | dfr_series_md |
| MLE fitting for masked-cause DFR series systems | fit.dfr_series_md |
| Hessian of log-likelihood for masked-cause DFR series systems | hess_loglik.dfr_series_md |
| Test whether an object is a dfr_series_md | is_dfr_series_md |
| Log-likelihood for masked-cause DFR series systems | loglik.dfr_series_md |
| Number of components in a masked-cause DFR series system | ncomponents.dfr_series_md |
| Print method for dfr_series_md | print.dfr_series_md |
| Random data generation for masked-cause DFR series systems | rdata.dfr_series_md |
| Score function for masked-cause DFR series systems | score.dfr_series_md |
