Key | Value |
---|---|
FileName | ./usr/lib64/R/library/msm/Meta/package.rds |
FileSize | 1096 |
MD5 | AF6B662FE499A5A881B0C7295B5E141B |
SHA-1 | 2C74773DF0DEE754AD268B77A25FD0E0A21F782A |
SHA-256 | EA9C44CDA855E307C1849F73AB6AADA0464549842D4F242D35E452C2871CCB72 |
SSDEEP | 24:XC7aHLu+CbMNGtJEkX8e2/CYk8Iz0+cDROGxpDIT8:XCiLSbg++kX8ZKV8Iz0X9OGxFIT8 |
TLSH | T12011F6D0B352A321F8302EB0346AB84421AC3A64190314887BEB64308D7B85E86D7B8A |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
MD5 | 9144E198D71718D63335CBEBAB05D857 |
PackageArch | x86_64 |
PackageDescription | Functions 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. |
PackageName | R-msm |
PackageRelease | lp151.2.59 |
PackageVersion | 1.4 |
SHA-1 | 0500501E30F2021928DC92EFDAC7813A3E18389C |
SHA-256 | 25297FE0EA198BA15C874A6049803B93F54EEA023A40D50238A6745730364A63 |