Result for 1087B4B6AAEF44579F1256443B197B2B1C9715F6

Query result

Key Value
FileName./usr/lib/R/site-library/msm/help/msm.rdx
FileSize1494
MD5E1DA05A8A5E76218D32BBFDD97A6E123
SHA-11087B4B6AAEF44579F1256443B197B2B1C9715F6
SHA-256D4226FB427434FD5B5986F0D53A29CBAC032E573D551D4AA0619D3777CCDD3AA
SSDEEP24:XyLpD7YuZtsK2Wncpntwnv3gToQih2EnJnrytc6sQCHVvwWhuV5fsOdXSHP9Rqpk:XyLlYWSvWcagodHJr6cXVhhWsvfrOb4b
TLSHT1FD31D76393C7AE25A164BE7B76F161B4334080855241F68DF0F300D5F8D85E8A1CA86D
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
FileSize1063510
MD53B19FC45431E8553A2C81C7E57E16CE5
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-117007C4EF66CD713A6BE22474719BCE95B1A15D6
SHA-25684B5B2E46DB712ECDF49FFB35BDE70016DC2CAB0F77657673C195A2A7D963B84