Result for 2F2AE302E6E4C37E6C8B2F4AE4E3D9DE9775A95A

Query result

Key Value
FileName./usr/lib64/R/library/msm/data/Rdata.rdx
FileSize212
MD5AC9E1982518EFA07261AF073DEC6E726
SHA-12F2AE302E6E4C37E6C8B2F4AE4E3D9DE9775A95A
SHA-256CED70EAA5736413568F1718F979BB771C03A8CEBB60135B8981BCB358C2D53C6
SSDEEP6:XtVFoKOmUscpuYzRu9MkGwJB6iZI12aGUbC8NQ5un:X+m3OT+MyP72caGU++Q5un
TLSHT1DBD023B4126195CFD0364D23B401530D030DE57794FF4489D6492D54050D884D38D157
hashlookup:parent-total1
hashlookup:trust55

Network graph view

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