Result for 10BE8E31D8621655A211AE64045DC63C90DF4E20

Query result

Key Value
FileName./usr/lib64/R/library/msm/R/msm.rdb
FileSize513240
MD5A9ADD68703E38987AD9DA076E3C497C8
SHA-110BE8E31D8621655A211AE64045DC63C90DF4E20
SHA-25658BB5E7AD2E5065CE18F87FFDB84C2705390BC3213AC7F57FB57CB3037B9718E
SSDEEP12288:yxw0UpzE+fsgjfiG6BpMvE7+OIdF0Q3PLwryDREWAv50:yijtE+fszBpMv3OIdKQTwrWk2
TLSHT16FB4232A6A51640D19E5ED6C1048739CAA3FA946FF0747707205C3E0F2B4336EEDBDA9
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
MD58DC8D7500D7E052CB058AF3DB8FB3A34
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
PackageReleaselp150.2.49
PackageVersion1.4
SHA-17A26E16426B8140F7D81D3503D6DEE2EA3801B8B
SHA-2562E51325C06FEF5989080C84BA2687068C910308D3C7B690542F837310FD7FE12