Result for 2C74773DF0DEE754AD268B77A25FD0E0A21F782A

Query result

Key Value
FileName./usr/lib64/R/library/msm/Meta/package.rds
FileSize1096
MD5AF6B662FE499A5A881B0C7295B5E141B
SHA-12C74773DF0DEE754AD268B77A25FD0E0A21F782A
SHA-256EA9C44CDA855E307C1849F73AB6AADA0464549842D4F242D35E452C2871CCB72
SSDEEP24:XC7aHLu+CbMNGtJEkX8e2/CYk8Iz0+cDROGxpDIT8:XCiLSbg++kX8ZKV8Iz0X9OGxFIT8
TLSHT12011F6D0B352A321F8302EB0346AB84421AC3A64190314887BEB64308D7B85E86D7B8A
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
MD59144E198D71718D63335CBEBAB05D857
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
PackageReleaselp151.2.59
PackageVersion1.4
SHA-10500501E30F2021928DC92EFDAC7813A3E18389C
SHA-25625297FE0EA198BA15C874A6049803B93F54EEA023A40D50238A6745730364A63