Result for 31436126263F64A1A1E4B7F9392B31D4E574F60D

Query result

Key Value
FileName./usr/lib64/R/library/msm/R/msm.rdb
FileSize513235
MD508069B7AD4AB0FA480500C8563F2DCBD
SHA-131436126263F64A1A1E4B7F9392B31D4E574F60D
SHA-256BD7C4E16B266F16A7590E0C726151F4BD15C2FEB1F08BD7C537C2C7ED776DAD5
SSDEEP12288:Oxw0UpzE+fsgjfiG6BpMvE7+OIdF0Q3PLwryDREWAv50:OijtE+fszBpMv3OIdKQTwrWk2
TLSHT1EBB4232A6A51640D19E5E9AC1048739CEA3FA946FF0747707205C3E0F2B4336DEDBDA9
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
MD539B6419F110985D4DE9880D6077937C0
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
PackageRelease2.236
PackageVersion1.4
SHA-128B5EB8288A50F225E5492A6BF1100FCCECD2C22
SHA-256D278561D8FDF12F5CDD28CDEC5F16FCEE190D677F265EF30494AA29C4078F569
Key Value
MD5DC344B9BFF03DD88A43D29DC3926F4C3
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
PackageRelease2.236
PackageVersion1.4
SHA-12A8EBA10C4966E1A4EA137BC9E03E1926AA048E3
SHA-25626FAF7C70A2F4463E15210F750369A43F048260037C901913979C1D3696E2B82