| Key | Value |
|---|---|
| MD5 | 0ECD841AE60F80B4E51B035D135B7534 |
| 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 | 8F6D51EDA51094D7770F85FD686D34670AC87896 |
| SHA-256 | DB283E37E4E66C896CE963A55BBAB21866147C9D865CC56E13A6ECE83C41AA4F |
| 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/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/lib/R/library/MasterBayes/Meta/package.rds |
| FileSize | 904 |
| MD5 | C2AEBB5E4BAB27B5C3D3B95BF86E3C48 |
| SHA-1 | 21ED8543483F59B16E5A21DAD4A7FBF0DC439A1D |
| SHA-256 | F14DA644ACBEEC373E20C5234B7B9DDD0D20AF8DBE7EF728BAE7E7A944CA204C |
| SSDEEP | 24:XNPt/h2KWm2/xKtwQVybn1Lw5aublLx9hb2/zCWRbuKh:XNPj2KWm2cLVqJw5LhA/mWZF |
| TLSH | T1621184A8C6D6CEADD2C99EF4494F0093071AB120401E08849A88850A2D7AD9AEC14B30 |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/Meta/links.rds |
| FileSize | 569 |
| MD5 | CBAE3C37D4AE0388F31739F3A5D96757 |
| SHA-1 | 2CC4BD20851270E30B6FECFFEBC35BBE01225CF2 |
| SHA-256 | 244BB8469F69C6E735078B03041E0195E651C7BE859B83820BD949182061C8D6 |
| SSDEEP | 12:XQQaLitQnxa5Mvj75DBuhUnCZEkXnXK6QvIlh8rq02:XXWxJ7juhUZ6QvI/a4 |
| TLSH | T1CEF096D0D2C8C10AF99059339B2654805CFC3C0DF33293E59106F4B730031EE007B059 |
| 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/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/help/aliases.rds |
| FileSize | 386 |
| MD5 | 139511543603F8E252D51E9CA57E59F8 |
| SHA-1 | 3C701CDE78AFD003B980C70CF8474809F03E85F8 |
| SHA-256 | BFA2D86D9498EFB4BC6A8E4C622B950B8A4F6F916ECFDFC4D97158C202DFC599 |
| SSDEEP | 6:XtFlRoxmasOPoAHWP+sAo5s7yCDqhQvA0qQ9G+/bHNxtNE6EjYpNNObBhu+u:Xjnoxi7B2voipDqhQvQetNJ8qHObBhul |
| TLSH | T1D5E061750F4F30AECD1AB1217674A4E08545E41A1FD90D6A4416DD3BBDD2DF057D01BD |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/Meta/features.rds |
| FileSize | 131 |
| MD5 | B86D4B4E58D4B9DE57F0E325B7FAF4D8 |
| SHA-1 | 3EA43631F9DE6A25EE43B8F4BC311876CE4612C3 |
| SHA-256 | 2A0F23D7B99E29349A0FB677F557A69EB3622CA44A891A2B9C569306D13AE8C1 |
| SSDEEP | 3:FttVFDorDjVCfiIxmSfgLgLX3HLZJcvHRmeX3F4jum+1t:XtVFOjofihlLgLX3Vu0KC01t |
| TLSH | T118C02B01D77220B5C0E8013047EF0CC0543CB80412EC049E2035704030000B54D49934 |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/MasterBayes/help/MasterBayes.rdb |
| FileSize | 115155 |
| MD5 | D34CC83656F40A948A3D82ECEF01E05C |
| SHA-1 | 4944193193796BCD6C2CE87AA617BAF33820D27D |
| SHA-256 | 27C8599381EDD02BB1A344992AD3002B5E480336E44242B3A9368ACBF10C7A9B |
| SSDEEP | 3072:m35VwZOkgz1HmTswU3+PDqYUdK9+r3cGFqhgbHX2nDa:m3rwZOkglmTsSqY2K4IOqhgTGnDa |
| TLSH | T15CB31266AF42284FE334C4E05279BD4EC791BA5F658433934674D63836FB2252F9281E |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/library/MasterBayes/libs/MasterBayes.so |
| FileSize | 253624 |
| MD5 | 7FA2CA05E3D3B22E207DEE773EA37193 |
| SHA-1 | 514D3297537AAD17BAE1D0EEFD28D5701B0977A5 |
| SHA-256 | A20B5E313BDCA60B879FCAE3E8B07D8A65DBA42CF3377F1520FC3816E4DD2F3A |
| SSDEEP | 6144:MKsG/a4gUJT3U5gpSOLQhZq2xoU0A2RWnfB:o5gcCQhZq2xoU0b |
| TLSH | T1F5442C62DBA2F072E10380F05246777368607731D04BF49EFB45AB5BB8791E3AB29716 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/library/MasterBayes/R/MasterBayes.rdx |
| FileSize | 842 |
| MD5 | 0124F20F487FE11CF1F46D7C9C104A88 |
| SHA-1 | 5F54308AF8A67EC1C60F560428BE95020A76EA17 |
| SHA-256 | C207975B63ECDB10A19A603869233792F29C599C46E3BAE67BE7B611EA98F906 |
| SSDEEP | 24:X0iVc2PW+hdH2hIQqcWdwIvFCBtlk6XPfWwogKZ:X0ec2PRd4tqK9jK6XWwJs |
| TLSH | T16F0186962477576E6133A4790D7E8014CE31A0FE371247E2067035B5B3167B5C16F495 |