| Key | Value |
|---|---|
| FileSize | 1075912 |
| MD5 | 7364AD7284DE63C1C319D645D7E55A07 |
| PackageDescription | GNU R functions for learning bayesian inference LearnBayes contains a collection of functions helpful in learning the basic tenets of Bayesian statistical inference. It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions. It contains MCMC algorithms for summarizing posterior distributions defined by the user. It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | r-cran-learnbayes |
| PackageSection | gnu-r |
| PackageVersion | 2.15-5 |
| SHA-1 | 85D8E0EE4191B143E4025F00524F3CF6CA59DD51 |
| SHA-256 | 191BA3172E736D8A1972BBEBE2745DE6F391024E9A1DC6525E56640E2563E51B |
| hashlookup:children-total | 93 |
| hashlookup:trust | 50 |
The searched file hash includes 93 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/nitpick/Meta/nsInfo.rds |
| FileSize | 197 |
| MD5 | 2E062D9A60D3233886E0334A18E905D2 |
| SHA-1 | 02C6622A7A2761EDADF443A6B1D7FD763ADBD9A5 |
| SHA-256 | 38E97628203211814F05F7DE2C44B9A1616999A89054ABF41A2487E35AFF6426 |
| SSDEEP | 6:XtVFO/Ynne2cmbMQk5GlLoicUKMPz9yxPlll:XMAnne2cmbM8BAMPz9y9t |
| TLSH | T125D0222C27F26CA1ED03003D2187867CC80C0063822060423A004E86880A8208BEA6BC |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/Meta/links.rds |
| FileSize | 1354 |
| MD5 | 76954FA021DA4777DEBDF8DD2F2E2763 |
| SHA-1 | 07174F1D0242E2D8A6DC0F8874C62B729C5BB1B9 |
| SHA-256 | AB3EF870B573839070898CED2CE87FA5D0D3AB596045A221B9047BE96EA1A3B3 |
| SSDEEP | 24:XtnqORI6DmT1FPSpJJZtSYbOqXm6OulhgimqjvWG7vyEc343lpJ9FIaE:XMORjmT7Pofjmyf+5a0341j9iaE |
| TLSH | T1AB21D865C4D519B6F8A68458E7C53CCB007CD20B9DC2DF16D68E035039D813413834B4 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/doc/BayesFactors.pdf |
| FileSize | 138575 |
| MD5 | 30C91A87CC025913CF7E35E3E0B2F583 |
| SHA-1 | 0AE420EC2A74824FD0C2076D6FD42BCF6E432F76 |
| SHA-256 | 7B0CB0E84D9585D2390934601110D874B0C2552C9F21A77E63829512788F2008 |
| SSDEEP | 3072:Gz8CRbVYQHe5kArYQBtLyLyigerQKt78CvmAj6:Gz8C9WLqGtLyLyi1cKinS6 |
| TLSH | T11CD312903B1E5E0CEE6B4218D9DC069730CF8790590D5A3B316A000B775DFA9EEB5BE9 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/help/LearnBayes.rdx |
| FileSize | 2167 |
| MD5 | 2F3B6C7E683EA28C6ED2980E6BC9DD7D |
| SHA-1 | 0CA7D571CF1CEACDB88350BD5856B678835A3390 |
| SHA-256 | A8FDDB1802AB927B18691A51BEE194B53DCAB4B03EB5E2923DA4BFF61311324C |
| SSDEEP | 48:Xls+7bwDJdKRVus3DSYG5juLFlbyzTJnUsiAk468GI1n4TRUbc:1s4Gdiuiqj8ufJnMAk+GI1jc |
| TLSH | T19C411A96A3D84F424262AF7E9B0FE0A00092C94410070AD5CB773E255F8F18E6122922 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/Meta/vignette.rds |
| FileSize | 383 |
| MD5 | FEFABAED69C0572E1243E3D7C7261EA9 |
| SHA-1 | 0F36F270B89E12C5AA5EACBADD669938527475EF |
| SHA-256 | FC6CD1600292E2D1EF37666C0111199A575889ACA6F930E794068946ECC8CDE1 |
| SSDEEP | 6:XtsR03fgNbcbQgHJJmCy2yST8OMbhtbvQCeulcW25Jjii2eamW/ok7QAmbJjjIJ:Xusf8mDmpNSwd7bvteulcW4ki2OyoyQ8 |
| TLSH | T137E06002E08C358CD34720F22C63B256BA80825C39AFC1462081C60F0ECE019F2EDF32 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/help/aliases.rds |
| FileSize | 825 |
| MD5 | 7E59D3EDDC2630AE3284C871AAFC2BA1 |
| SHA-1 | 18C11EECDC237C79E32ED5CE1B2182A510663B1A |
| SHA-256 | 129D53C912408AA7200495872015CCE66D68EE77B9E17BEB2878FE01F56C93D3 |
| SSDEEP | 24:XL7PpsepvW6Mqd/chdeGhrdRSAplFrAcql7c1cm6STyS:XL7Cfqd0uQyl0cm6S2S |
| TLSH | T17E0186048CD15426F0944DFBE0062169970757B835E84E3E906CD3436A11DC728CE923 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/demo/Chapter.9.2.R |
| FileSize | 2811 |
| MD5 | B4B61C3395225B800163FD5C13E5C21F |
| SHA-1 | 1E2665C70D86B8CA619A9127E0A590E95237383F |
| SHA-256 | E0847A3414F3485BE6950DD426D925039E852ABE6817A2F1188888980A0E29D4 |
| SSDEEP | 48:ENg/wc/PRf/K+ZE+E64brcYPsJjfY9+O5blHYvyXU1e:EOtxfC+ZE+kbrcMsJbW+Od1t0e |
| TLSH | T1D6514320B80B951DCBF205D8F9D95180F3996DC4AE3B0551F73E88C062AD086E9F66DE |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/effects/R/effects |
| FileSize | 1056 |
| MD5 | EBF0FC819595D631B8BF280C4B049940 |
| RDS:package_id | 182052 |
| SHA-1 | 1E3082B0E541341846B7B27EAC2126CAFB0E00B9 |
| SHA-256 | 2FB8B16BE23C820DAF2E51B7DDFEF61CA4978E561B1D228D546D1B356041F79E |
| SHA-512 | A427BB0442BB076EDD389C8553F618B54605012BDA8E62409CA657C7B000404E9E45684C03C2F4444C331A994BB48C98892DECED8153DF04654982EBF900F956 |
| SSDEEP | 24:dh2pvjejSRmcyAOkHjlnAJAcEWrwYahkB1OOV0Ea:dijeuR5ysHjuecZVHC |
| TLSH | T13911208C6410D6FB6A0104853C4F12CDE21B6763729DA091300DD52F7B09E7562F6996 |
| insert-timestamp | 1679428382.0662453 |
| mimetype | text/plain |
| source | RDS.db |
| tar:gname | bin |
| tar:uname | root |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/demo/Chapter.7.3.R |
| FileSize | 332 |
| MD5 | F7DF016019A9EEC55565E607BFF7016C |
| SHA-1 | 1F12C022A692E798314C941FD7876BD33FA11BF6 |
| SHA-256 | C3EE1B35EBF2E3B0A16F2BE347ED4EBDDB8C250B6809400213EA929838902F1C |
| SSDEEP | 6:avT193EvxzlXuK2GBK2aFyKCNpQn0n0sOpeJQ/NYj:Mq+2gFyKUAvJpeJaNU |
| TLSH | T17AE09518BFDF40034731501114C67183D761C9188C3F4484FA0D5C4B1C1724D76D261E |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/Meta/Rd.rds |
| FileSize | 3688 |
| MD5 | D381E6A26C03A7AE0C1958162840CBC2 |
| SHA-1 | 200E08B0232C73D4870139A6CAE11BC5A725AF73 |
| SHA-256 | B28D4F4AE1C6C047ACAE23D73BE7F827A03B694971AD068AF51536757CAD40A9 |
| SSDEEP | 96:qqY+Z+leNhf7MY+WTUT0y/QUDhFIu1Nb09xQr54STml:qqXIUhfoYuX/QUNFHHY9xQrPS |
| TLSH | T194715DF48CAC8F6F31947CB26637B6D4CD014041FCB90D5259E8C53865E5DE8DD31494 |