Result for 31820CB789D15678B41180AF51A13676F421E658

Query result

Key Value
FileName./usr/lib64/R/library/MasterBayes/doc/Tutorial.Rnw
FileSize119275
MD5370BC72151048A91EED63B60F046B416
SHA-131820CB789D15678B41180AF51A13676F421E658
SHA-256B6D795686E744F095C8DDD8873DD54397D15C4F782AC54FC9BFAF99C4DDC35AB
SSDEEP3072:28ZkAt6RT0PwdxMZm4ZiZKyhhwJa0fuD2:1Z1ZiZTkfuD2
TLSHT14DC3D673334823325A571171A39E90C4A73491386736C95878AFC63D6307C669BFBBEA
hashlookup:parent-total19
hashlookup:trust100

Network graph view

Parents (Total: 19)

The searched file hash is included in 19 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD53284F1D4DAB6E6491E17BCA4F1CF5C09
PackageArchi586
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageRelease1.493
PackageVersion2.53.1
SHA-10AD317659BB917B5D9B0197A062EE9DE87B61990
SHA-256793F603DD47963BB7051844984AEC2E0278CEF8F1A9B011055F1C5EB8CE5CF29
Key Value
MD50F1BD1705E7CA5DF912E45963A5DF392
PackageArchx86_64
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageRelease1.493
PackageVersion2.53.1
SHA-11352AAF532112C48EA845C7E34C3F52897B691B4
SHA-256ACE5D4075E1209243DF023A40EB6C771A64AD2C5252B2C7115494BADD6F3EF6A
Key Value
MD50A63C42C903E261201E09C3B21F1E3FF
PackageArchi586
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageReleaselp150.1.22
PackageVersion2.53.1
SHA-1236BB38FE63869A8AEA93F207596439045EB1466
SHA-256FCBC616752C6F69FD25209707B1D66538A92EB5CC613C4D5C49F7582699666D8
Key Value
MD583FE92A54018565D5D2AFEB671E739BD
PackageArchx86_64
PackageDescriptionThe primary aim of 'MasterBayes' is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled 'C++' for efficiency.
PackageNameR-MasterBayes
PackageReleaselp153.2.2
PackageVersion2.57
SHA-141D4F1AD296B1B714B252795671F6EC01A5EF1E3
SHA-25664D1C6831F65D9E3B491F9E2A527C7029FB9EEAEAF5DFAC886FA6E149AB22474
Key Value
MD525162A57090C41A49A288124CEB5DC11
PackageArchx86_64
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageRelease1.16
PackageVersion2.53.1
SHA-147DC3BEC5BEBF1F8B293AE2CCA64EC9FB4BA1DB1
SHA-256DD1A64AE60DC18C653FEE6383A4BEB3BEEE8AB734866086A9064E3AE0C4BFC71
Key Value
MD5C72F9420C4AA5DBE91D41D39FB4C2F76
PackageArchx86_64
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageReleaselp153.1.12
PackageVersion2.53.1
SHA-1487DD2BD9B3E45D8E1F39AB6373D880475E946A9
SHA-2562A9D76FACF960E44A107C79B18824CE39DD4D1C1427B40E77E822FFD7C923C84
Key Value
MD5C221F1A2D197C5829FDCDD62DFCA85FE
PackageArchx86_64
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageRelease1.6
PackageVersion2.53.1
SHA-1598964F7DC31FE74CC7593B9846E106C7731D81F
SHA-2565427A013CB387C3BDC637DD0BEC4EC01F1104205903E60AD8553A58099DF1A72
Key Value
MD5A667D3CB42ABFAACB995E9252FE3621E
PackageArchx86_64
PackageDescriptionThe primary aim of 'MasterBayes' is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled 'C++' for efficiency.
PackageNameR-MasterBayes
PackageReleaselp154.2.1
PackageVersion2.57
SHA-15B3E348DD8DDB703D94426A1E70068227F78F684
SHA-256C4F7631C3E5A42EB35C2D16F32A2AEC5BF9B66425C2D70CF7A580E26101D6676
Key Value
MD58C7A90CFF1E49ADAD1E561AB22392D42
PackageArchx86_64
PackageDescriptionThe primary aim of MasterBayes is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled C++ for efficiency.
PackageNameR-MasterBayes
PackageRelease1.493
PackageVersion2.53.1
SHA-175BE0472F0FF2A84EB8E8811DD98A90881BE872B
SHA-2566610F8C0549138E7B83F0C6AD9AB133A4FDFD76E531924C59BCF2122D23F3F28
Key Value
MD5BC5AFB7C37F358D219B6237B4B92313B
PackageArchx86_64
PackageDescriptionThe primary aim of 'MasterBayes' is to use MCMC techniques to integrate over uncertainty in pedigree configurations estimated from molecular markers and phenotypic data. Emphasis is put on the marginal distribution of parameters that relate the phenotypic data to the pedigree. All simulation is done in compiled 'C++' for efficiency.
PackageNameR-MasterBayes
PackageReleaselp152.2.2
PackageVersion2.57
SHA-175FE575670933E6414C83F21B94EC3B2B4B5C4AA
SHA-25695494E6DE0F0EE736E939BF93273452ADD7E2AB1EA1654340C057154817D2301