| Key | Value |
|---|---|
| MD5 | 375C60E11D97D8CB8BF61032A2BEFF6A |
| PackageArch | x86_64 |
| 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 | lp152.2.6 |
| PackageVersion | 2.15.1 |
| SHA-1 | 02A686E3FFA30509C7C5088BC21AA5B2B1C8B656 |
| SHA-256 | 2AB0D5EE58D7D6C0C885AA4A6FE0751AE33B5DB98028CA44E55B479D04AD26BF |
| 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/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/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/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/demo/Chapter.4.2.R |
| FileSize | 587 |
| MD5 | 8CC49E3FB8274A30A016FF6779C9F7B9 |
| SHA-1 | 25F8B2F3B5DEC634FE7F1F75160D0076E8ECAC68 |
| SHA-256 | 814E478772F0EB31E547844C2FC4BE2D01B33BAE972A0BEA656383BB8D4BE5C5 |
| SSDEEP | 12:96IoOnRfIgJQVVVSju/4QN3Hy7QnyrSyodUnJCaSyn:96XUFIgY2m3YL+7dUJGy |
| TLSH | T140F0DC1026FBA03373F600128F002185A72E7158DCBB1C9230AC6A623F030A8233277F |
| Key | Value |
|---|---|
| FileName | ./usr/lib/R/site-library/LearnBayes/demo/Chapter.6.2.R |
| FileSize | 570 |
| MD5 | CCC509DBA6548C32E1ACBA678FDB1450 |
| SHA-1 | 2847FE23FD02FEFA87B858E52D53869B82A2837D |
| SHA-256 | 2C2AC7AD6BBC68EA2CC2C97BF0A3983CA1511ED9026FB8560B7383477661FA4E |
| SSDEEP | 6:anoGqRMqiENHPAN1AHA6AHA+kScAgEHEO2WmHf8RaZsnr5V/Hfz/ErXEQ/eaAkAy:OMMqi+HY6Fo52THERa2nrLPf1zy |
| TLSH | T144F0E2B0811D07019315CB07C92950A2D22925233CFBA803BF3E61014F201D3C216A8D |