| Key | Value |
|---|---|
| MD5 | 86418BF5A63DBDE56810F5760C162BFC |
| PackageArch | i586 |
| PackageDescription | 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. |
| PackageName | R-LearnBayes |
| PackageRelease | 1.31 |
| PackageVersion | 2.15.1 |
| SHA-1 | 1FF3EB703FF5F059010D801B82C08FBCC20268F4 |
| SHA-256 | B42334EA61BD9C45C383A7046AC9A34A4CB094AC0D19506301041EDB6B08675F |
| hashlookup:children-total | 86 |
| hashlookup:trust | 50 |
The searched file hash includes 86 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/doc/DiscreteBayes.pdf |
| FileSize | 109225 |
| MD5 | E156F1E781ECD7CC19787EF700ABD22C |
| SHA-1 | 03B898E3750DB13964143A289FFA36635ECA0766 |
| SHA-256 | 71FF742FADAC214A6714902E3572BCAB123C990626A54806EB9A6BCAE7F67565 |
| SSDEEP | 3072:TzdypV8n86hQ9OhRdGyEkc72kA0/Ldd0OXq:Tzdyo86ioU1LN6 |
| TLSH | T1BEB30280CA69586DC4C39C54749F136345CBF1F49C44813BB9BC48A737AFE40EA6A8DA |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/library/LearnBayes/data/Rdata.rdx |
| FileSize | 548 |
| MD5 | C8AC0406A4664FC75C3B6AAA0E4087DE |
| SHA-1 | 052DBE25444F655F6CAEE74D264F9D31B3BD9A44 |
| SHA-256 | 65378A4DBFE5357340C0BCE3C1652A103C10FAA35104DBEABCF3E83A052E4B37 |
| SSDEEP | 12:X3q7fpE32A+Emlp7mOQNZUDaA+1P+enePbhb6Glv1ELb3O/:X3quGrpGGDaRMCGnEG |
| TLSH | T118F020A883A5E194DC5FA4B07744DF31A14BEF364CD9987203CAF1435D889B202286F6 |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/LearnBayes/data/Rdata.rds |
| FileSize | 384 |
| MD5 | 88954A195861AE6B54B729A70FB0639D |
| SHA-1 | 0D9A115FBBBF7464A5F7089E7E7F6B46A36D12AC |
| SHA-256 | 8C1E49357D3A72805F55063B93AE5C6DBA51FA66F15F07D1A83CC61CFE56D760 |
| SSDEEP | 6:Xt5pB5bR1OEhl502yxwfl5tUJrJyBZ8byLJg2k1xDLlPnylXtEl/najHwkw80JBJ:XvpHDOYjKwkvyr8bUg2mLlfStExnasXJ |
| TLSH | T1C6E0F1CB419F61F2D316359AB11F6F80C9CA61CA7050300126000F002560C4959831DC |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/LearnBayes/doc/index.html |
| FileSize | 3642 |
| MD5 | 8A5F1A4FA7570D0B20710FA1BAF4C4A7 |
| SHA-1 | 119C96317B392B7E67B9F2A73E9C9C0637299E99 |
| SHA-256 | 4A79CEE48E9F239808448272D818F3DFC093179B7EA0F548CDFCD417D9DD1C46 |
| SSDEEP | 96:1ztg84qNAMWIARwoMWwApweM6VAAwNMH2AXwKMaKAjwqHO:nDN7ZTH7KPW578u |
| TLSH | T129716C61E9D036241DF309696E656C7C73E2197DA7863E047DDE0C3BAB4A6E083113E7 |
| 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/LearnBayes/Meta/Rd.rds |
| FileSize | 3705 |
| MD5 | D67926C3117E87DADB59982C3C3F964A |
| SHA-1 | 138094FFCED37B86247223AD36D843E7706701B8 |
| SHA-256 | 436D81F8B5F2957EBD7FFD0302AB2ED9B5823135E0E601463C39E13C6BB358BB |
| SSDEEP | 96:fBozkOQLmvwi6V97Lxh8OsCzNm5lw3VCZlCh7LNflcdb0jQ:fBooZLmvSVVxTtzNwlwVKlChXNfl+b08 |
| TLSH | T10D718B703B7E0F383A3121EA5884990C984E23CE21CEB170FDBECB08D6C9214D835060 |
| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/LearnBayes/Meta/nsInfo.rds |
| FileSize | 451 |
| MD5 | 6B677755E45FABBA2420C7FE3DEB20BA |
| SHA-1 | 15AD12CEC4FDBD3969BFFDEA2511001FA9C9A98B |
| SHA-256 | 410C81204131F4FB6A8B60599F96B22AE75A1B81C7D2A2AD16A469B684541D58 |
| SSDEEP | 12:X/LnuHmkdfZE0gDKGf7IkAO+4YKFJtKLZTBlC5L3:X/LZkdf1MKGskAO+4Yctq7YL |
| TLSH | T11DF0239DA4DAAF01F2262439A3B73F3139107C31A3436F6F03467382969EA044D4B8E1 |
| 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/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/demo/Chapter.4.2.R |
| FileSize | 587 |
| MD5 | 8CC49E3FB8274A30A016FF6779C9F7B9 |
| SHA-1 | 25F8B2F3B5DEC634FE7F1F75160D0076E8ECAC68 |
| SHA-256 | 814E478772F0EB31E547844C2FC4BE2D01B33BAE972A0BEA656383BB8D4BE5C5 |
| SSDEEP | 12:96IoOnRfIgJQVVVSju/4QN3Hy7QnyrSyodUnJCaSyn:96XUFIgY2m3YL+7dUJGy |
| TLSH | T140F0DC1026FBA03373F600128F002185A72E7158DCBB1C9230AC6A623F030A8233277F |