Result for 02DF3AB78BE53318A032B82DDE96A2B2D9D707E5

Query result

Key Value
FileName./usr/lib64/R/library/msm/Meta/hsearch.rds
FileSize2658
MD55FF1D77C1F09EBA214CCE72B02F5114A
SHA-102DF3AB78BE53318A032B82DDE96A2B2D9D707E5
SHA-25631996B81CA4A248B59BA764FB88DDDF46B10A635036A0EAFE19B66B64E245EB6
SSDEEP48:XeTcupOB2MpNqbLfnpmsTDJUsMPQpdkjdBvXznc5xV3iz1QWSRsWXh8VlOBeesGd:uooOBTpInnUOJUdNdBvg9sqfsNVl8Jd
TLSHT11E512B450C6F55B113F62D3A0D298EE86C4E925180DBC575586BB0A2D455FCA6C86F1C
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
MD5C511B01C4483AFBCD2889B048C27BEF1
PackageArcharmv7hl
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
PackageRelease2.fc32
PackageVersion1.6.8
SHA-15F3555025CA3A81032926E17872395E18EB606EC
SHA-2567CB8E1A6D347BD9C1619402F5CEA5BE3CCF728AA84FEE37B6CEE5AEAD4E69343
Key Value
MD50ECB6030C926EC4071F29061DF11A412
PackageArchx86_64
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
PackageRelease2.fc32
PackageVersion1.6.8
SHA-15848536C8274B44F2FA8D6C575D1F08781B4F6AB
SHA-256DFED899286ECA10B20F2415EFD9B44E9098E2DD0D14276D35F9158F364FC5E16