lnmixsurv
3.1.7Bayesian Mixture Log-Normal Survival Model
Overview
Bayesian Survival models via the mixture of Log-Normal distribution extends the well-known survival models and accommodates different behaviour over time and considers higher censored survival times. The proposal combines mixture distributions Fruhwirth-Schnatter(2006) doi:10.1007/s11336-009-9121-4, and data augmentation techniques Tanner and Wong (1987) doi:10.1080/01621459.1987.10478458.
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- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-08-0112 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- OK2026-06-097 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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- Examples that run
- 100%
- Documented parameters
- 99%
- Return-value docs
- 86%
- References docs
- 0%
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- 3.1.7Latest
- unarchivedReturned to CRAN2026-06-08
- RR 4.6.0 released · 2026-04-24
- archivedRemoved from CRAN2026-01-15issues were not addressed in time
- RR 4.5.0 released · 2025-04-11
- 3.1.62024-09-03
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2026-06-09
- Total releases
- 2 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1.0
- Bundled data
- 78 KB / 1 file
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet