Result for 2AC3FBAC852FCBB86FFCB588FAFCC44F47A8CF32

Query result

Key Value
FileName./usr/lib/R/library/msm/libs/msm.so
FileSize91480
MD536B59D74C2D32ECB18E22E0DCB88E0D3
SHA-12AC3FBAC852FCBB86FFCB588FAFCC44F47A8CF32
SHA-2567E1406D06A28C23B22CBFAA405DF626ED9593E02E720C0F94C5F92727027DCE0
SSDEEP1536:S22gQje2Ml1xPIg0ClDLqm1AXJRTZO9xHrZ913K8AJ:SPTj5yNIg0+DLX141M9x1za8i
TLSHT1EB934B9BE82207DAC7D83A3CB2B65F54324A4271D2F5372F4D98A6303AD7A1E54F5E04
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
MD5B8991BA42431BBAEF482F5E6864B0F74
PackageArcharmv7hl
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
PackageRelease2.138
PackageVersion1.4
SHA-17E441A3388A2FA3CCABC58CEE3F9B7F95D57C2ED
SHA-256569A1963907386B349B8E57A96354B011716532F6F141D966D6EC76673C37E98