| Key | Value |
|---|---|
| FileName | ./usr/lib64/R/library/msm/R/msm.rdx |
| FileSize | 3449 |
| MD5 | 0AD04316E01ADD72D5310638BC5EE404 |
| SHA-1 | 0349D2BF4A1738F99CE07A9C43373AED2145B75E |
| SHA-256 | 8CC0CF11F8B6158C625B9F35C61E91D984D385C720005DAE632DE30FAC436437 |
| SSDEEP | 96:QfDBPkumVrppH3jA4AWiUTJBNNZ+NDID2EYht+iRtuU/1:Qr5kzl1EVWVJBrMNMajt+izuU9 |
| TLSH | T1B4614A8A83871C3658B1063D1D21B0862387B209BA645A31B76CC48F6F27B9E1D06A8C |
| hashlookup:parent-total | 3 |
| hashlookup:trust | 65 |
The searched file hash is included in 3 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| MD5 | 8DC8D7500D7E052CB058AF3DB8FB3A34 |
| 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 | lp150.2.49 |
| PackageVersion | 1.4 |
| SHA-1 | 7A26E16426B8140F7D81D3503D6DEE2EA3801B8B |
| SHA-256 | 2E51325C06FEF5989080C84BA2687068C910308D3C7B690542F837310FD7FE12 |
| Key | Value |
|---|---|
| MD5 | 610BE6930C0310A4E2C482E5537E406C |
| 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 | lp153.2.12 |
| PackageVersion | 1.4 |
| SHA-1 | CFB4013CEDDF349A883F11AF6F458EB83DE86F48 |
| SHA-256 | F0CB01AC0C4784468FCAB4604F0E59A89F77B2706DE551588A37DF57ED8F15FA |
| Key | Value |
|---|---|
| MD5 | A5F828AE824CE81BA084A7809D7B92A9 |
| 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 | lp152.2.14 |
| PackageVersion | 1.4 |
| SHA-1 | 99B1DD82FAA7EEA16FC27F12F68108EB332A71C7 |
| SHA-256 | 0F0875873D12E00FDAC94B6098635073A8D86FD54C0BCEAABD1AD60DF756A063 |