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diemr: Diagnostic Index Expectation Maximisation in R

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: 1.4.2
Imports: zoo, vcfR
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2024-12-02
DOI: 10.32614/CRAN.package.diemr
Author: Natalia Martinkova ORCID iD [aut, cre], Stuart Baird ORCID iD [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

Documentation:

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)

Downloads:

Package source: diemr_1.4.2.tar.gz
Windows binaries: r-devel: diemr_1.4.2.zip, r-release: diemr_1.4.2.zip, r-oldrel: diemr_1.4.2.zip
macOS binaries: r-release (arm64): diemr_1.4.2.tgz, r-oldrel (arm64): diemr_1.4.2.tgz, r-release (x86_64): diemr_1.4.2.tgz, r-oldrel (x86_64): diemr_1.4.2.tgz
Old sources: diemr archive

Linking:

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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.