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Likelihood-based genome polarisation finds which alleles of genomic markers belong to which side of the barrier. Co-estimates which individuals belong to either side of the barrier and barrier strength. Uses expectation maximisation in likelihood framework. The method is described in Baird et al. (2023) <doi:10.1111/2041-210X.14010>.
Version: | 1.4.1 |
Imports: | zoo, vcfR |
Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
Published: | 2024-09-23 |
DOI: | 10.32614/CRAN.package.diemr |
Author: | Natalia Martinkova [aut, cre], Stuart Baird [aut] |
Maintainer: | Natalia Martinkova <martinkova at ivb.cz> |
BugReports: | https://github.com/StuartJEBaird/diem/issues |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Citation: | diemr citation info |
Materials: | NEWS |
CRAN checks: | diemr results |
Reference manual: | diemr.pdf |
Vignettes: |
Importing data for genome polarisation (source, R code) Understanding genome polarisation output files (source, R code) diemr: Diagnostic index expectation maximisation in R (source, R code) |
Package source: | diemr_1.4.1.tar.gz |
Windows binaries: | r-devel: diemr_1.4.1.zip, r-release: diemr_1.4.1.zip, r-oldrel: diemr_1.4.1.zip |
macOS binaries: | r-release (arm64): diemr_1.4.1.tgz, r-oldrel (arm64): diemr_1.4.1.tgz, r-release (x86_64): diemr_1.4.1.tgz, r-oldrel (x86_64): diemr_1.4.1.tgz |
Old sources: | diemr archive |
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These binaries (installable software) and packages are in development.
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