QTL Analysis in Autopolyploid Bi-Parental F1 Populations
Overview
Quantitative trait loci (QTL) analysis and exploration of meiotic patterns in autopolyploid bi-parental F1 populations. For all ploidy levels, identity-by-descent (IBD) probabilities can be estimated. Significance thresholds, exploring QTL allele effects and visualising results are provided. For more background and to reference the package see doi:10.1093/bioinformatics/btab574.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-09
- ERROR12 OK, 1 ERROR2026-06-08
- OK13 OK2026-05-02
Show 4 earlier changesHide 4 earlier changes
- ERROR11 OK, 1 ERROR2026-04-25
- NOTE11 OK, 3 NOTE2026-04-22
- ERROR10 OK, 3 NOTE, 1 ERROR2026-04-18
- NOTE11 OK, 3 NOTE2026-03-10
Documentation
- Help pages
- 40 (1 internal)includes a package overview page
- Examples that run
- 79%19 run in a plain check · 5 never run
- Exported functions with examples
- 96%
- Documented parameters
- 100%
- Return-value docs
- 84%
- Help pages citing references
- 3%
Downloads
Dependencies
Installing polyqtlR adds 59 packages (30 with compiled code, 56 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.
Code & Tests
Datasets
People & History
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
- 0.1.1Latest
- 0.1.02024-01-08 · diff ↗
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.0.92022-02-02 · diff ↗
- 0.0.82022-01-20 · diff ↗
- 0.0.7
- 0.0.6
- RR 4.1.0 released · 2021-05-18
- 0.0.5
- 0.0.42020-12-16
- RR 4.0.0 released · 2020-04-24
Package metadata
- First published
- 2020-12-16
- Total releases
- 8 / 6 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 2.5 MB / 14 files
- Download size
- 4.1 MB
Cite
Cite this package
Run in R for the authors' entry:
citation("polyqtlR")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/bioinformatics/btab574.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.