High-Performance Open-Source Archive
A comprehensive computational framework for joint mapping, developed by Li (2016) <doi:10.11841/j.issn.1007-4333.2016.06.002>, supports quantitative trait locus detection in structured genetic populations. It integrates robust phenotype summarization, computes genotype probabilities, and imputes missing markers for association and linkage mapping. Empirical significance thresholds are estimated via permutation testing coupled with stepwise regression. The framework enables genome-wide scans under both univariate and multivariate trait models, streamlining the discovery of complex genetic architectures.
| Version: | 1.0.0 |
| Depends: | R (≥ 3.5.0) |
| Imports: | lsmeans (≥ 2.25.5), StepReg (≥ 1.5.0) |
| Published: | 2026-05-19 |
| DOI: | 10.32614/CRAN.package.JM4QTN |
| Author: | Junhui Li [aut, cre], Wenxin Liu [aut] |
| Maintainer: | Junhui Li <ljh.biostat at gmail.com> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | JM4QTN results |
| Reference manual: | JM4QTN.html , JM4QTN.pdf |
| Package source: | JM4QTN_1.0.0.tar.gz |
| Windows binaries: | r-devel: JM4QTN_1.0.0.zip, r-release: JM4QTN_1.0.0.zip, r-oldrel: JM4QTN_1.0.0.zip |
| macOS binaries: | r-release (arm64): JM4QTN_1.0.0.tgz, r-oldrel (arm64): JM4QTN_1.0.0.tgz, r-release (x86_64): JM4QTN_1.0.0.tgz, r-oldrel (x86_64): JM4QTN_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=JM4QTN to link to this page.
Need mirroring services?
Contact our team at info@vpspulse.com.
Mirror powered by VPSpulse
Infrastructure sponsored by VPSPulse & Secure Payments by ArionPay.