Key | Value |
---|---|
FileName | ./usr/lib64/R/library/MasterBayes/data/WarblerG.tab.gz |
FileSize | 5533 |
MD5 | 78E5C8BAE7D2FBF8BAB82E0195DAF9A3 |
SHA-1 | 7AB88CD3113A992A892F1E6E2DEC2159ED4013FE |
SHA-256 | 10D00E7DE81B6E86AC8310DDCC003370BBFBD9B056474AB02814841A05B3F348 |
SSDEEP | 96:LrC2I2g++hbZ96JLSwX69REA6GPdu/BlbL1ioWMkNKFNGButug5ouRSQNX3KEBp9:JI2whSeo69+KgNFWtGNYAokxKEB7 |
TLSH | T167B18E46A08AF002DF32C3FBB7DA7A27C28061549F293D74B2CDA5DA5241B5CE21172B |
hashlookup:parent-total | 19 |
hashlookup:trust | 100 |
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 |
---|---|
MD5 | 3284F1D4DAB6E6491E17BCA4F1CF5C09 |
PackageArch | i586 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | 1.493 |
PackageVersion | 2.53.1 |
SHA-1 | 0AD317659BB917B5D9B0197A062EE9DE87B61990 |
SHA-256 | 793F603DD47963BB7051844984AEC2E0278CEF8F1A9B011055F1C5EB8CE5CF29 |
Key | Value |
---|---|
MD5 | 0F1BD1705E7CA5DF912E45963A5DF392 |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | 1.493 |
PackageVersion | 2.53.1 |
SHA-1 | 1352AAF532112C48EA845C7E34C3F52897B691B4 |
SHA-256 | ACE5D4075E1209243DF023A40EB6C771A64AD2C5252B2C7115494BADD6F3EF6A |
Key | Value |
---|---|
MD5 | 0A63C42C903E261201E09C3B21F1E3FF |
PackageArch | i586 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | lp150.1.22 |
PackageVersion | 2.53.1 |
SHA-1 | 236BB38FE63869A8AEA93F207596439045EB1466 |
SHA-256 | FCBC616752C6F69FD25209707B1D66538A92EB5CC613C4D5C49F7582699666D8 |
Key | Value |
---|---|
MD5 | 83FE92A54018565D5D2AFEB671E739BD |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | lp153.2.2 |
PackageVersion | 2.57 |
SHA-1 | 41D4F1AD296B1B714B252795671F6EC01A5EF1E3 |
SHA-256 | 64D1C6831F65D9E3B491F9E2A527C7029FB9EEAEAF5DFAC886FA6E149AB22474 |
Key | Value |
---|---|
MD5 | 25162A57090C41A49A288124CEB5DC11 |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | 1.16 |
PackageVersion | 2.53.1 |
SHA-1 | 47DC3BEC5BEBF1F8B293AE2CCA64EC9FB4BA1DB1 |
SHA-256 | DD1A64AE60DC18C653FEE6383A4BEB3BEEE8AB734866086A9064E3AE0C4BFC71 |
Key | Value |
---|---|
MD5 | C72F9420C4AA5DBE91D41D39FB4C2F76 |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | lp153.1.12 |
PackageVersion | 2.53.1 |
SHA-1 | 487DD2BD9B3E45D8E1F39AB6373D880475E946A9 |
SHA-256 | 2A9D76FACF960E44A107C79B18824CE39DD4D1C1427B40E77E822FFD7C923C84 |
Key | Value |
---|---|
MD5 | C221F1A2D197C5829FDCDD62DFCA85FE |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | 1.6 |
PackageVersion | 2.53.1 |
SHA-1 | 598964F7DC31FE74CC7593B9846E106C7731D81F |
SHA-256 | 5427A013CB387C3BDC637DD0BEC4EC01F1104205903E60AD8553A58099DF1A72 |
Key | Value |
---|---|
MD5 | A667D3CB42ABFAACB995E9252FE3621E |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | lp154.2.1 |
PackageVersion | 2.57 |
SHA-1 | 5B3E348DD8DDB703D94426A1E70068227F78F684 |
SHA-256 | C4F7631C3E5A42EB35C2D16F32A2AEC5BF9B66425C2D70CF7A580E26101D6676 |
Key | Value |
---|---|
MD5 | 8C7A90CFF1E49ADAD1E561AB22392D42 |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | 1.493 |
PackageVersion | 2.53.1 |
SHA-1 | 75BE0472F0FF2A84EB8E8811DD98A90881BE872B |
SHA-256 | 6610F8C0549138E7B83F0C6AD9AB133A4FDFD76E531924C59BCF2122D23F3F28 |
Key | Value |
---|---|
MD5 | BC5AFB7C37F358D219B6237B4B92313B |
PackageArch | x86_64 |
PackageDescription | The 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. |
PackageName | R-MasterBayes |
PackageRelease | lp152.2.2 |
PackageVersion | 2.57 |
SHA-1 | 75FE575670933E6414C83F21B94EC3B2B4B5C4AA |
SHA-256 | 95494E6DE0F0EE736E939BF93273452ADD7E2AB1EA1654340C057154817D2301 |