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r-cran-qtl package

r-cran-qtl 1.50-1 source package in Ubuntu

Changelog

r-cran-qtl (1.50-1) unstable; urgency=medium

  * Disable reprotest
  * New upstream version

 -- Andreas Tille <email address hidden>  Thu, 14 Oct 2021 23:12:17 +0200

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Uploaded by:
Debian R Packages Maintainers
Uploaded to:
Sid
Original maintainer:
Debian R Packages Maintainers
Architectures:
any
Section:
misc
Urgency:
Medium Urgency

See full publishing history Publishing

Series Pocket Published Component Section
Jammy release universe misc

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File Size SHA-256 Checksum
r-cran-qtl_1.50-1.dsc 2.0 KiB e02f933b6c4ae685220577c37540c12d4309a6dbfc0f669981e4f686f4fdabfc
r-cran-qtl_1.50.orig.tar.gz 4.2 MiB 2d38656f04dc4187aefe56c29a8f915b8c7e222d76b84afe7045d272294f9ed5
r-cran-qtl_1.50-1.debian.tar.xz 7.0 KiB 8b9dcfada8f9e334579017cd781b941665c1870e7e1dcc7c9b1c2cd30af557ff

Available diffs

No changes file available.

Binary packages built by this source

r-cran-qtl: GNU R package for genetic marker linkage analysis

 R/qtl is an extensible, interactive environment for mapping quantitative
 trait loci (QTLs) in experimental crosses. It is implemented as an
 add-on-package for the freely available and widely used statistical
 language/software R (see http://www.r-project.org).
 .
 The development of this software as an add-on to R allows one to take
 advantage of the basic mathematical and statistical functions, and
 powerful graphics capabilities, that are provided with R. Further,
 the user will benefit by the seamless integration of the QTL mapping
 software into a general statistical analysis program. The goal is to
 make complex QTL mapping methods widely accessible and allow users to
 focus on modeling rather than computing.
 .
 A key component of computational methods for QTL mapping is the hidden
 Markov model (HMM) technology for dealing with missing genotype data. The
 main HMM algorithms, with allowance for the presence of genotyping errors,
 for backcrosses, intercrosses, and phase-known four-way crosses
 were implemented.
 .
 The current version of R/qtl includes facilities for estimating
 genetic maps, identifying genotyping errors, and performing single-QTL
 genome scans and two-QTL, two-dimensional genome scans, by interval
 mapping (with the EM algorithm), Haley-Knott regression, and multiple
 imputation. All of this may be done in the presence of covariates (such
 as sex, age or treatment). One may also fit higher-order QTL models by
 multiple imputation.

r-cran-qtl-dbgsym: debug symbols for r-cran-qtl