Result for 1EC49978DA4A03AC32255683604DE78E48442D6E

Query result

Key Value
FileName./usr/lib64/R/library/msm/DESCRIPTION
FileSize1140
MD5ED8D7C89DF5DDD43677B3AC6199846D9
SHA-11EC49978DA4A03AC32255683604DE78E48442D6E
SHA-256A764DE6F15E218A44A92EC810612BDE1E410B2596F066AB2A1E7A9D9D18A6300
SSDEEP24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMyM:YGkGuSuZS6l+HhzwszyJ7
TLSHT1EB2141C0E5A414842AC3015BAB3D376517AF93203792803E1326835DBB6652E639F7A0
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
MD58DC8D7500D7E052CB058AF3DB8FB3A34
PackageArchx86_64
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
PackageReleaselp150.2.49
PackageVersion1.4
SHA-17A26E16426B8140F7D81D3503D6DEE2EA3801B8B
SHA-2562E51325C06FEF5989080C84BA2687068C910308D3C7B690542F837310FD7FE12