| Key | Value |
|---|---|
| MD5 | BE7826CFE9E184EB7B5770239AC2E19F |
| 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 | lp150.1.68 |
| PackageVersion | 2.53.1 |
| SHA-1 | F5B19F2976E91EC7E627CCF968D427FC6DDBBCCD |
| SHA-256 | AE7A71B0468BA1915AED54D27D0F58B844F597DFC14F452AEFFB69D16BE055A2 |
| hashlookup:children-total | 28 |
| hashlookup:trust | 50 |
The searched file hash includes 28 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/help/MasterBayes.rdx |
| FileSize | 873 |
| MD5 | 140B5AD738D5C369D3B1FF6AA51CA49A |
| SHA-1 | 07FB0677A62753F7A83398ECBA7447EA0051A490 |
| SHA-256 | F0BFBCB465A7A2D9A71C2F473AB611683125660D322575DFCEE74225DCBDB87F |
| SSDEEP | 24:Xb8q2R3M5tf4lSFJg9DdP2cXcU6+W02DOdI:XbMGf4kOj6+WX |
| TLSH | T1E5116333F4FDCFED8450C2B205DAD64A14DB00826DA307C19E2DCD57B944D8868C1B4E |
| Key | Value |
|---|---|
| FileName | usr/share/R/R/nspackloader.R |
| FileSize | 1058 |
| MD5 | D6C68F1FE41CED6E98A766A3757313DA |
| RDS:package_id | 293685 |
| SHA-1 | 12C0D3D6E3F5B5D749C93FECA122CBA34B466AB5 |
| SHA-256 | 570CA456B280CDEB201EF5EBDF22DC8F80092E2C0C68E33C7F73340E420F3759 |
| SHA-512 | 6824A8335BC36AF7808471FE603E2C4FC7B77BD08D61DF060B80444424563B0764DE87AAD8D6D20E926D02AA20E22528FFA8ED517AF5F35A01ACFA8BD2A90590 |
| SSDEEP | 24:do2pvjejSRmcyAOkHjlnAgAcEWrwYahkB1OOV0Ea:d1jeuR5ysHju3cZVHC |
| TLSH | T1FB1142886410D7FB6A0104853C4F22CDE31F6723729DA091300DD12F7B0DE7552F69D6 |
| insert-timestamp | 1728198681.437601 |
| mimetype | text/plain |
| source | snap:VCjprGsSZiPuV3CmQViE4TvPMKTOlaiL_119 |
| tar:gname | root |
| tar:uname | root |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/help/aliases.rds |
| FileSize | 385 |
| MD5 | D80F486403401F9B49E153F98E46F412 |
| SHA-1 | 25163EA9B8915C59FFE9CA06538CC4E9E22C0B96 |
| SHA-256 | 44E57BDB2FF45BDD96720DF1AC9A4DA3121A746F4E54308D877727998815D13D |
| SSDEEP | 6:XtZSfsmvGvVPgBJcCFvp3ltl6w6vCztx4co/ou/hevEA01+HB7pv1hm:X4E1UJrSCzt8wu/IvEAh7l1g |
| TLSH | T193E0F890A14C423FC02384604432E7B64A8A2330BEE6A00A7AEAC399A6017C3336AC17 |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/rstudioapi/Meta/features.rds |
| FileSize | 132 |
| MD5 | 389DA450250B1DEBB4264BC13344C456 |
| SHA-1 | 305F72B6C4F049F6134D5CE720950F6BAD2139C7 |
| SHA-256 | F06FFEC8D1157B2F29B9A30AAE0D08311F21CEDDB62680A40E98D254B70124DE |
| SSDEEP | 3:FttVFD/EWOjf9haZkLgLX3HLZJcvHRmeX3F4jur4f:XtVFDjOJhhLgLX3Vu0KCYI |
| TLSH | T1D2C02B04C3536095C0CD013043DC0DD0C42C687893C409592024304420540B00EB2DDC |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/doc/Tutorial.Rnw |
| FileSize | 119275 |
| MD5 | 370BC72151048A91EED63B60F046B416 |
| SHA-1 | 31820CB789D15678B41180AF51A13676F421E658 |
| SHA-256 | B6D795686E744F095C8DDD8873DD54397D15C4F782AC54FC9BFAF99C4DDC35AB |
| SSDEEP | 3072:28ZkAt6RT0PwdxMZm4ZiZKyhhwJa0fuD2:1Z1ZiZTkfuD2 |
| TLSH | T14DC3D673334823325A571171A39E90C4A73491386736C95878AFC63D6307C669BFBBEA |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/Meta/package.rds |
| FileSize | 909 |
| MD5 | 7844DF702D0119F94D1129801616CB61 |
| SHA-1 | 37E4FDE50DF01413A1FF7319F38AE47649EE03D2 |
| SHA-256 | 0F7B64205EC98DED2A803F124ACB0B4F0F2CD37CC2FC67711635F580B567770E |
| SSDEEP | 24:XkQ6fzlLCPny1TJJZGqUjKH8rlCcEPc/U8wB/:XkTgfy1TJel2ea5 |
| TLSH | T1611188A3610CE6016F7A635E1A085605513D26D8BC29A092FFFBF05E241603594C1D5C |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/CITATION |
| FileSize | 765 |
| MD5 | 2E4FC447AA224E47CE3C59820C2A7702 |
| SHA-1 | 3875D18EA1A8DAEAE02A3836C5F2C5D669C4391F |
| SHA-256 | 16B293C7D4805E2C03BF9AC277EA641057D947138E99100EB101905D13678354 |
| SSDEEP | 12:1xPP+1YMhizyq2KWMiTeN4ehRdFH8YIfmvnA+ZRMyxssOoQ7Bizyq2KWMiT8:1ZPwhdqFoeHhDWY6YRbBSTBdqFo8 |
| TLSH | T124019E136C52023577FF4A9A6D525200DB92A31B755240C734BD034DAF7B39AA172B58 |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/html/00Index.html |
| FileSize | 6007 |
| MD5 | 38E294B94A6270D68724B71260E192E7 |
| SHA-1 | 4B3BEE5A2BE89CE2D34D690C5EDCA51174040523 |
| SHA-256 | F62D2D4A2F53BC68B4722A30986BE50C943AAFE6CF974647C9040EB77963F2C3 |
| SSDEEP | 96:1zM0K4VDqBQLlSohECZ49SF8q8pZOSuENiU2keQuoJpGKrnTlJdJSYJJCh+TENm0:mA8kLCb3LTSio1a3u |
| TLSH | T170C1ABC2A1D58C7E8551166995963DB96BD112F423921D00AE3FBCFBAF02BB2D3213C7 |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/DESCRIPTION |
| FileSize | 817 |
| MD5 | A5C5B49B3B07B9ECDB86F241E566DE37 |
| SHA-1 | 5909883FA13C3EAF54C396036CCA079027EDEEC9 |
| SHA-256 | E0CCAD32C0A0165B775CC88F689A7F0A7FE88BDA69EEAE7B9CCC36E99B904097 |
| SSDEEP | 24:mz0ZKE3YaREZvxDGcxyxuGF386bq07l+rD:m5nxDGcsug8620Js |
| TLSH | T1E50152023450C32088D24BEF98354F15923A63587BA38B18492EC319061387B9276178 |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/doc/index.html |
| FileSize | 1416 |
| MD5 | E9AFA2E03942D3677B12DB341F3166F8 |
| SHA-1 | 5B97BF5B81AC86423D4C4AD5BACCF78E7C605C05 |
| SHA-256 | 16D1EABD941946F42201A13E3AF2B71CB8F3BAE277578DD1F048EF052A5631A0 |
| SSDEEP | 24:hM0mIhBiSspeCOpLdWOR7ORYF42UhCMkvQU0mmZrSdpU9jtMe9xgnwx3pUActwxi:lmIzi5pqpLdfRCRYF4WNNPytMSau3zcb |
| TLSH | T19121F4E5D081902879E3488496915D1892D2066EA7871E087AFE987FB387BF4C3B62E5 |