Result for 0EAA33EE5B07CC0545DC94DA13793F3A54CE71CC

Query result

Key Value
FileName./usr/lib/R/library/msm/R/msm.rdx
FileSize3446
MD50A2733232DA66DA811AE6FA5E7346188
SHA-10EAA33EE5B07CC0545DC94DA13793F3A54CE71CC
SHA-256494C108344CF49F551E74F0F09F20CE81A26FC3FA4D0592BAE813B8A34C9809E
SSDEEP96:BrZUHF+kCX4oWtz6ETrXIsNiD7TE3bOh3Fq51L+YcZ:Bm+k6yNrMD7oroq5dUZ
TLSHT14E614BCA91B17082D17DB2929F9C6331B0DFB262706C5D88EAC1E4A0635275A9E1FB81
hashlookup:parent-total2
hashlookup:trust60

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Parents (Total: 2)

The searched file hash is included in 2 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
MD51D1342AA7C56F1294B42CAD92A74CB5C
PackageArchi586
PackageDescriptionFunctions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. A variety of observation schemes are supported, including processes observed at arbitrary times (panel data), continuously-observed processes, and censored states. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
PackageNameR-msm
PackageRelease2.236
PackageVersion1.4
SHA-185C04B614CA326DA7982F7778C88B3FB426CBA28
SHA-256048F09E1927D7D5CE9569A672BE7DB86B0BF4658BD055C2736735BD367B088BC
Key Value
MD5922F46BBD6F3D118FD467C87939598C4
PackageArchi586
PackageDescriptionFunctions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. A variety of observation schemes are supported, including processes observed at arbitrary times (panel data), continuously-observed processes, and censored states. Both Markov transition rates and the hidden Markov output process can be modelled in terms of covariates, which may be constant or piecewise-constant in time.
PackageNameR-msm
PackageRelease2.236
PackageVersion1.4
SHA-104E6FF270AD98AC70572B0E0B6D007113AE2F5D6
SHA-2560D4B96093B3E91B4E16EF02D404F5901E4D80C2414923ECCB5FFDE084853A304