Result for 1EFECBB1956DF3967CF8420777FA91E9E48399A0

Query result

Key Value
FileName./usr/lib/R/library/msm/DESCRIPTION
FileSize1138
MD5AE5C7C02036684D7EF7C043FF744465B
SHA-11EFECBB1956DF3967CF8420777FA91E9E48399A0
SHA-25610E2FFBD2C8F2F17B5C76831EC3D8C4AE3A59B8A9E79341D2C4F4077AC7C9BB9
SSDEEP24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMy8:YGkGuSuZS6l+HhzwszyJL
TLSHT15D2111C4E5A414882AC3015AB72D376517BF93207782943E1327835DBB6952E639F7A4
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
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