QTL Genome-Wide Composite Interval Mapping
Overview
Conduct multiple quantitative trait loci (QTL) and QTL-by-environment interaction (QEI) mapping via ordinary or compressed variance component mixed models with random- or fixed QTL/QEI effects. First, each position on the genome is detected in order to obtain a negative logarithm P-value curve against genome position. Then, all the peaks on each effect (additive or dominant) curve or on each locus curve are viewed as potential main-effect QTLs and QEIs, all their effects are included in a multi-locus model, their effects are estimated by both least angle regression and empirical Bayes (or adaptive lasso) in backcross and F2 populations, and true QTLs and QEIs are identified by likelihood radio test. See Zhou et al. (2022) doi:10.1093/bib/bbab596 and Wen et al. (2018) doi:10.1093/bib/bby058.
Install
Health
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Yuanming Zhang<soyzhang@mail.hzau.edu.cn>’
No Authors@R field in DESCRIPTION.
Please add one, modifying
Authors@R: c(person(given = "Zhou",
family = "Ya-Hui",
role = "aut"),
person(given = "Zhang",
family = "Ya-Wen",
role = "aut"),
person(given = "Wen",
family = "Yang-Jun",
role = "aut"),
person(given = "Wang",
family = "Shi-Bo",
role = "aut"),
person(given = "Zhang",
family = "Yuan-Ming",
role = "aut"),
person(given = "Yuanming",
family = "Zhang",
role = "cre",
email = "soyzhang@mail.hzau.edu.cn"))
as necessary.- NOTE11 OK, 2 NOTE2026-09-25
- ERROR10 OK, 2 NOTE, 1 ERROR2026-09-18
- NOTE11 OK, 2 NOTE2026-09-08
- ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
- NOTE12 OK, 2 NOTE2026-04-22
Show 2 earlier changesHide 2 earlier changes
- ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 13
- Examples that run
- 91%10 run in a plain check · 1 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 90%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing QTL.gCIMapping adds 33 packages (17 with compiled code, 37 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, qtl 4.2 MB.
Code & Tests
Datasets
People & History
Maintainer since 1.0 (2018)
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 3.4Latest
- RR 4.1.0 released · 2021-05-18
- 3.3.12020-10-12 · diff ↗
- 3.32020-05-01 · diff ↗
- RR 4.0.0 released · 2020-04-24
- 3.2
- RR 3.6.0 released · 2019-04-26
- 3.12018-10-17 · diff ↗
- 3.0
- 2.0
- 1.02018-04-24
Show 1 earlier eventHide 1 earlier event
- RR 3.5.0 released · 2018-04-23
Package metadata
- First published
- 2018-04-24
- Total releases
- 8 / 8 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 3.2 KB / 2 files
- Download size
- 1.7 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("QTL.gCIMapping")Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.