The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ldsep: Linkage Disequilibrium Shrinkage Estimation for Polyploids

Estimate haplotypic or composite pairwise linkage disequilibrium (LD) in polyploids, using either genotypes or genotype likelihoods. Support is provided to estimate the popular measures of LD: the LD coefficient D, the standardized LD coefficient D', and the Pearson correlation coefficient r. All estimates are returned with corresponding standard errors. These estimates and standard errors can then be used for shrinkage estimation. The main functions are ldfast(), ldest(), mldest(), sldest(), plot.lddf(), format_lddf(), and ldshrink(). Details of the methods are available in Gerard (2021a) <doi:10.1111/1755-0998.13349> and Gerard (2021b) <doi:10.1038/s41437-021-00462-5>.

Version: 2.1.5
Depends: R (≥ 2.10)
Imports: Rcpp, foreach, doParallel, ashr, corrplot, lpSolve, abind, modeest, matrixStats
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat, covr, knitr, rmarkdown, updog (≥ 2.0.2), VariantAnnotation
Published: 2022-10-18
DOI: 10.32614/CRAN.package.ldsep
Author: David Gerard ORCID iD [aut, cre]
Maintainer: David Gerard <gerard.1787 at gmail.com>
BugReports: https://github.com/dcgerard/ldsep/issues
License: GPL-3
NeedsCompilation: yes
Citation: ldsep citation info
Materials: README NEWS
CRAN checks: ldsep results

Documentation:

Reference manual: ldsep.pdf
Vignettes: Fast LD Estimation
LD Estimation Pipeline from VCF

Downloads:

Package source: ldsep_2.1.5.tar.gz
Windows binaries: r-devel: ldsep_2.1.5.zip, r-release: ldsep_2.1.5.zip, r-oldrel: ldsep_2.1.5.zip
macOS binaries: r-release (arm64): ldsep_2.1.5.tgz, r-oldrel (arm64): ldsep_2.1.5.tgz, r-release (x86_64): ldsep_2.1.5.tgz, r-oldrel (x86_64): ldsep_2.1.5.tgz
Old sources: ldsep archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ldsep to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.