Result for 3E39405CF765CDF803166823171FFD42190F11D3

Query result

Key Value
FileName./usr/lib64/R/library/msm/DESCRIPTION
FileSize1140
MD559EFBC02723786DA6188F219FE7F0662
SHA-13E39405CF765CDF803166823171FFD42190F11D3
SHA-2566D45E3769359C4FA0D6B1D5D0B01B2649F5A38F3C9F1FE68E17E8D60E9565056
SSDEEP24:Ym46jQlkuHVUuHVSZQ0b+S6hHdkHstSlJxRdiszy5bWiQ/iEMy3:YGkGuSuZS6l+HhzwszyJU
TLSHT1802141C0E5A414842AC3015BAB3D37A517AF93203782803E1326C35CBB6652E639F7A0
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
MD54FE3515A2156FF32E8EE00382D583BC7
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
PackageRelease2.15
PackageVersion1.4
SHA-1354D89F443AFE6543BCB215821E6E2210F3BFCB4
SHA-256CFB0B2A5BFCFDE134F6AF026C97A56275CB6F5F5F6FC6A72FDD7450281BE6E7E