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1.0.0Addressing Detection Limits by Cumulative Probability Models (CPMs)
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Overview
About
Build CPMs (cumulative probability models, also known as cumulative link models) to account for detection limits (both single and multiple detection limits) in response variables. Conditional quantiles and conditional CDFs can be calculated based on fitted models. The package implements methods described in Tian, Y., Li, C., Tu, S., James, N. T., Harrell, F. E., & Shepherd, B. E. (2022). "Addressing Detection Limits with Semiparametric Cumulative Probability Models". arXiv:2207.02815.
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- NOTE2026-04-229 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
- ERROR2026-04-188 OK · 5 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
- NOTE2026-03-109 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
Documentation
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- Examples that run
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- Documented parameters
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- Return-value docs
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- References docs
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Dependencies
Declared dependencies
11 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.4.0
Imports (7)
methodsstatsRcppRcppParallelrstanrstantoolsSparseM
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Package Timeline
1 release. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.0.0Latest2026-03-10 · current release
- RR 4.5.0 released · 2025-04-11
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Package metadata
- First published
- 2023-11-24
- Total releases
- 1 / 3 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.4.0
- Download size
- 22 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet