Parents (Total: 3)

The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	09613DE9D52726FF6D1367F37665BF6A
PackageArch	x86_64
PackageDescription	The popular population genetic software 'Treemix' by 'Pickrell and Pritchard' (2012) <DOI:10.1371/journal.pgen.1002967> estimates the number of migration edges on a population tree. However, it can be difficult to determine the number of migration edges to include. Previously, it was customary to stop adding migration edges when 99.8% of variation in the data was explained, but 'OptM' automates this process using an ad hoc statistic based on the second-order rate of change in the log likelihood. 'OptM' also has added functionality for various threshold modeling to compare with the ad hoc statistic.
PackageName	R-OptM
PackageRelease	lp152.2.5
PackageVersion	0.1.3
SHA-1	FF34534B8FC850DE35E2295F3F0A18E7F8296BCD
SHA-256	BD67E65A4A0DCAF138DFCC304ECF1C73B246DDC117880E8256AD32C3D809990D

Key	Value
MD5	DF0F6A7CEC87CC40641C5F6E2B293F91
PackageArch	x86_64
PackageDescription	The popular population genetic software 'Treemix' by 'Pickrell and Pritchard' (2012) <DOI:10.1371/journal.pgen.1002967> estimates the number of migration edges on a population tree. However, it can be difficult to determine the number of migration edges to include. Previously, it was customary to stop adding migration edges when 99.8% of variation in the data was explained, but 'OptM' automates this process using an ad hoc statistic based on the second-order rate of change in the log likelihood. 'OptM' also has added functionality for various threshold modeling to compare with the ad hoc statistic.
PackageName	R-OptM
PackageRelease	lp153.2.2
PackageVersion	0.1.3
SHA-1	0D5B093E50B296BC61C74F1EE3BDFA717DA1C8AB
SHA-256	893A57E0CB6421B6BDF40685B3DDC13107189687D60C23FC8F003CBB18D52C4D

Key	Value
MD5	5A51CB6A03F57FC5F1A88D51DE07E7C7
PackageArch	x86_64
PackageDescription	The popular population genetic software 'Treemix' by 'Pickrell and Pritchard' (2012) <DOI:10.1371/journal.pgen.1002967> estimates the number of migration edges on a population tree. However, it can be difficult to determine the number of migration edges to include. Previously, it was customary to stop adding migration edges when 99.8% of variation in the data was explained, but 'OptM' automates this process using an ad hoc statistic based on the second-order rate of change in the log likelihood. 'OptM' also has added functionality for various threshold modeling to compare with the ad hoc statistic.
PackageName	R-OptM
PackageRelease	2.10
PackageVersion	0.1.3
SHA-1	A462031A696DD9C96240F34B9A5F8D3F8F641A81
SHA-256	03887ABBCAF8421869DCCF6D97769B8B7F2AF9161756C417F8A31A188FB0CB10