Result for 35F9F6219A4965C8BC46DBA313BB138F5C5824ED

Query result

Key Value
FileName./usr/lib64/R/library/msm/data/Rdata.rds
FileSize117
MD5AD8DFEC399BE6A9CAA028AA959FCA017
SHA-135F9F6219A4965C8BC46DBA313BB138F5C5824ED
SHA-2560D26BE36092147D82D3D28B5D98F21B9C22C4E4B2B5251825BF51C3C6ADB547F
SSDEEP3:FttVFHIX2ni/kBANTUCKPpMQrJcs9g1rDzzontRFttn:XtVFomnWkB6TUJPiv1vzzAXt
TLSHT10BB01238002F1D8AC18381B807995C8241CD07A9D936E49BD07D0F4E8C06C80CEC9ABD
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
MD5B811B0AC1F62D1C011261A462D4F2356
PackageArchx86_64
PackageDescriptionFunctions for fitting continuous-time Markov and hidden Markov multi-state models to longitudinal data. Designed for processes observed at arbitrary times in continuous time (panel data) but some other observation schemes are supported. 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
PackageReleaselp153.1.1
PackageVersion1.6.9
SHA-19F06908ABD9901D04AA131E20C0AB9E67173DD4D
SHA-256D10855D6ED1A59EE2DFCAE82EF4C986084F312A6D7338BE82CECE1971257A664