Result for 167D140B2FC6BB67CDFEF7B97EE932400E78D64E

Query result

Key Value
FileName./usr/lib/R/site-library/msm/help/msm.rdb
FileSize322562
MD5622562547858CB901473D1ABF0A17308
SHA-1167D140B2FC6BB67CDFEF7B97EE932400E78D64E
SHA-25619BF75B7C33730207FBEB42A1C20E30D904ACB1FA84DA96F0A01970F17C89373
SSDEEP6144:j6Aa9DxNbIi7k06FWdOmlMTt2LOAUcYjfMZTCbGk9Lj+7V072HC2w5:oDxNbZo0yLTk6ljEO3NNV5
TLSHT158642387C20CDBB419BBFE23B18DDF99E5C6B2E15DD4AE730301E521E910D6A9263085
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize1057934
MD5E3B7C67D4DBEA31BBF5E00ADD03DDDD6
PackageDescriptionGNU R Multi-state Markov and hidden Markov models in continuous time Functions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainerDebian Science Team <debian-science-maintainers@lists.alioth.debian.org>
PackageNamer-cran-msm
PackageSectiongnu-r
PackageVersion1.6.4-1
SHA-16AFCD4F6F6A6D29B0E15330E6C8C780EF0956284
SHA-2562BD3AC6247097CC9C88D318A2EEA8EC3594A950F37342631C62BE6E21936495E