Result for 0DEE060E3DFCC3DF7AAABD46C82D6475909E3357

Query result

Key Value
FileName./usr/lib64/R/library/msm/Meta/hsearch.rds
FileSize2642
MD5AD7463CE615C95229B2173B83AE5C9D0
SHA-10DEE060E3DFCC3DF7AAABD46C82D6475909E3357
SHA-256A31B46962CEB869B61D450A2B32A5A8ACD3C088B0172898489C88F8DC59DC3BD
SSDEEP48:XyqaKjr9y3XTWrVBu9zM6AEONqT4NP9xL8waGThm3s0BTSkFUJhI:73/kSRBeo6AEKqo1PFm3sqT7UI
TLSHT1FD516C84264E0368A1BC6C64DE745F79CF12421375E251B2942834ED192EAF07DBF13B
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
MD56FF5BD24FF2B41558E0E5DF9C7816215
PackageArchaarch64
PackageDescriptionFunctions for fitting general continuous-time Markov and hidden Markov multi-state models to longitudinal data. Both Markov transition rates and the hidden Markov output process can be modeled in terms of covariates. A variety of observation schemes are supported, including processes observed at arbitrary times, completely-observed processes, and censored states.
PackageMaintainerFedora Project
PackageNameR-msm
PackageRelease7.fc34
PackageVersion1.6.8
SHA-127A9DF69871153AABC77DBCCE9391C8D28287662
SHA-25686A0E79CC0BD019710640F162180B45514CC04AC7F5234F45D2C5555D7BE9772